We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

A Data Scientist with banking experience designs predictive models, analyzes financial data, and develops ML/NLP solutions for risk management, fraud detection, and customer analytics. Key responsibilities include building credit risk scorecards, automating data pipelines, and ensuring regulatory compliance, typically requiring 3–5+ years of experience with Python, SQL, and statistical modeling in financial institutions. Key Responsibilities \* Predictive Modeling & Analytics: Develop behavioural segments, credit risk scorecards, and predictive models for customer onboarding, cross-selling, and churn retention. \* Fraud & Risk Management: Utilize advanced analytics to identify anomalies and fraudulent activities in transaction data. Implement risk models (probability of default) and maintain regulatory compliance. \* Data Handling: Extract, clean, and analyze structured and unstructured data from internal/external sources. \* Technology & Tools: Write advanced SQL queries and Python/R scripts for data manipulation and build machine learning algorithms (e.g., Scikit-learn, TensorFlow). \* Stakeholder Communication: Translate complex analytical findings into actionable business insights for management. Required Experience & Skills \* Domain Expertise: 3+ years of experience in banking or financial services, specifically in credit risk, fraud strategy, or compliance. Need candidates with 3–8 years’ experience in GenAI/Data Science, strong in Python, LLMs (RAG/fine-tuning), NLP, ML model deployment (MLOps), and cloud (AWS/Azure/GCP), with proven delivery in enterprise use cases

Position Description
At CGI, you will help design and deliver advanced AI solutions that support mission-critical systems across the Space, Defence and Intelligence sector.

As an AI Developer / Engineer, you will build and deploy intelligent applications that unlock the value of data, enhance decision-making, and drive operational impact. Working with cutting-edge technologies and expert teams, you will take ownership of complex challenges, contribute innovative ideas, and grow your career within a collaborative and supportive environment.

The Space, Defence and Intelligence business unit in CGI is a true IT Systems Integrator. We work, build, and operate bespoke, technically complex, mission-critical systems which help our clients keep us all safe and secure. We bring innovation to our clients using proven and emerging technologies, agile delivery processes and our deep expertise across the breadth of space, defence, intelligence, aerospace and maritime, all underpinned by our end-to-end cyber capability. We work collaboratively with global technology companies, cutting edge SMEs and academia to deliver the optimal solution for each client.

CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee.

We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.

Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position will be based on site near Gloucester 5 days a week.

Your future duties and responsibilities
In this role, you will design, build and deploy AI-enabled applications within secure, often disconnected environments. You will take ownership of developing machine learning and AI solutions, including large language models, retrieval systems and data pipelines, ensuring they are scalable, reliable and optimised for performance.

Working closely with multidisciplinary teams, you will integrate AI capabilities into existing systems and contribute to solving complex operational challenges. You will bring creativity and technical expertise to developing innovative solutions, while being supported by a collaborative and forward-thinking environment.

• Design & Develop AI-enabled applications and machine learning solutions

• Build & Optimise end-to-end ML pipelines and data workflows

• Train, Fine-tune & Deploy models, including LLMs and other AI systems

• Integrate & Enhance AI capabilities within existing platforms

• Deploy & Manage AI workloads using containerisation and orchestration tools

• Collaborate & Innovate with cross-functional teams to solve complex challenges

• Monitor & Improve model performance and scalability in production

Required qualifications to be successful in this role
You should have strong experience in AI or machine learning development, with solid programming skills and an understanding of modern AI frameworks and deployment practices. Experience delivering AI solutions into production environments is essential.

• You should have strong Python development skills

• Solid understanding of machine learning fundamentals and AI concepts

• Experience with frameworks such as PyTorch, TensorFlow or LangChain

• Experience developing and deploying machine learning models into production

• Knowledge of data pipelines and CI/CD practices

• Experience with Docker, Kubernetes or similar technologies

• Familiarity with LLMs, retrieval systems or vector databases (desirable)

• Experience working with GPU or on-premise AI environments (advantageous)

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team-one of the largest IT and business consulting services firms in the world.

£Up to £65,000 GBP

Competitive Bonus

Hybrid WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Machine Learning Engineer

Join a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors. This is a unique opportunity to work on cutting-edge AI and machine learning projects that make a tangible difference in the UK, supporting critical national security initiatives.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models that address some of the most complex challenges in national security. You will work in a consultative, hands-on role, collaborating with data scientists, software engineers, product managers, and stakeholders across the full lifecycle, from hypothesis through to production deployment.

Due to the sensitive nature of this work, candidates must be willing to undergo DV (Developed Vetting) security clearance, be sole British nationals, and have not spent more than 29 consecutive days outside the UK in the last 5 years. Please note that this role does not provide visa sponsorship and is not open to applicants on Skilled Worker or Dependent visas.

This role offers the opportunity to deliver real-world impact, working with diverse data types - including text, images, audio, video, and geospatial data - while applying cutting-edge methods in AI, machine learning, and MLOps/LLMOps practices.

You’ll have the opportunity to:

• Work alongside leading data scientists, ML engineers, and AI researchers on national security projects
• Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications
• Explore and implement ML and LLM models on complex, multi-modal datasets
• Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms
• Influence technical direction and best practice in ML and AI engineering
• Mentor and support junior engineers and graduates
• Engage directly with clients to scope, design, and deliver operationally-ready AI and ML solutions

Key Responsibilities:

• Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications
• Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly
• Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring
• Build and optimise ML pipelines using cloud-based platforms and experiment tracking tools
• Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails
• Support production models through monitoring, performance analysis, and continuous improvement
• Apply responsible AI practices, including model explainability, fairness, and ethical considerations
• Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value
• Mentor junior colleagues and share learnings across the team

Key Requirements:

• Willingness to undergo DV (Developed Vetting) security clearance
• Sole British national with no more than 29 consecutive days outside the UK in the last 5 years
• Proven experience as a Machine Learning Engineer or equivalent role
• Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow
• Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3)
• Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control)
• Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures
• Ability to absorb complex scientific and technical concepts and apply them to operational solutions
• Strong communication skills for both technical and non-technical stakeholders
• Curiosity, adaptability, and a desire to deliver real-world impact

You will gain exposure to:

• Advanced ML and LLM methods applied to national security challenges
• Deployment of ML models at scale using cloud platforms and MLOps/LLMOps pipelines
• A broad range of data types, including text, images, audio, video, and geospatial data
• Ethical, privacy, and security considerations in AI/ML applications
• High-impact projects with government and defence clients
• Mentorship and development opportunities within a diverse, innovative environment

Why Join:

• Work on high-impact projects that directly support national security
• Gain deep exposure to cutting-edge ML, LLM, and AI technologies
• Accelerate your career in a supportive, high-performance consultancy
• Be part of a culture that values innovation, collaboration, and engineering excellence

Interested? Apply Now!

Senior Applied Machine Learning / Computer Vision Engineer

Oxford - hybrid working

c£90-130k DoE + Equity

We’re seeking a Senior Applied Machine Learning / Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system.

This is an opportunity to build real-world AI systems from first principles, combining research-level work with deployment and impact, with freedom to explore and contribute to publishable work.

Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months.

Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems.

Working closely with the AI Lead and CTO, you will take ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems.

The Senior ML/CV Engineer role combines hands-on engineering with applied research, with opportunities to contribute to state-of-the-art work suitable for venues such as NeurIPS, ICCV, or CVPR, where appropriate.

Responsibilities:

Model Development & Training

• Develop and train models for perception, correspondence, and feature extraction
• Design experiments to improve performance, robustness, and generalisation
• Explore novel architectures and approaches where appropriate

Data & Training Infrastructure

• Build and maintain scalable training pipelines
• Work with real-world and synthetic datasets
• Design evaluation frameworks and benchmarks

Deployment & Optimisation

• Optimise models for edge and real-time deployment
• Improve inference speed, memory efficiency, and robustness
• Integrate models into full perception pipeline

Applied Research

• Contribute to advancing the state-of-the-art in applied vision systems
• Collaborate on research outputs suitable for top-tier conferences
• Balance innovation with delivery constraints

Requirements:

• PhD in Machine Learning, AI, Computer Vision, or related field
• Strong experience with deep learning frameworks (PyTorch / TensorFlow)
• Strong experience with computer vision models and ML training and evaluation pipelines
• Strong programming skills (Python, Java, C, CUDA and/or C++)
• Demonstrated ability to translate theory into working systems
• Citizenship of a NATO country (required due to project constraints)

Highly Desirable:

• Publications in NeurIPS, CVPR, ICCV, etc.
• Experience deploying models to edge / embedded systems
• Experience with multi-view or 3D perception problems

We encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience.

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at

* As at 31 December 2025

The Role

As a Quant Developer at Man Group you will be part of one of our flagship teams in Man’s systematic trading arm - Man AHL. The team works hand-in-hand with Quant Researchers focusing on equity market neutral models. Your challenges will be varied, and will involve building new alphas and new trading strategies.

The Team

Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.

Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.

Our Technology

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++.

We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB () our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries.

Technology and Business Skills

At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.

Essential

• Exceptional technology skills; recognised by your peers as an expert in your domain
• A keen interest and understanding of financial markets and instruments
• A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
• Strong knowledge of Python
• Proficient on Linux platforms with knowledge of various scripting languages
• Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas
• Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms

Advantageous

• Experience of front office quantitative software development e.g. in a hedge fund or investment bank
• Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
• Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow

Personal Attributes

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Demonstrable passion for technology e.g. personal projects, open-source involvement
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views

Working Here

Man Group has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community.

• We host and sponsor London’s PyData and Machine Learning Meetups
• We open-source some of our technology. See
• We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See

We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to “levelling the playing field” and believe that agile working promotes inclusivity across teams, regions and business units.

• We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches
• We have annual away days and off-sites for the whole team
• As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano

We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at .

You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Software Engineer Near Cambridge

My client, a fast-growing AI company based near Cambridge, is seeking talented Software Engineers to join a small but rapidly expanding development team. This is an opportunity to work on a wide variety of projectsfrom early-stage prototypes to fully developed products- helping to create new technologies that solve complex, real-world challenges.

This is a hands-on role offering autonomy, responsibility, and exposure to diverse technical domains across the full R&D lifecycle.

Key Responsibilities

• Designing and developing software for both prototype systems and production-ready products
• Working across multiple projects concurrently and adapting to varied technical challenges
• Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components
• Rapidly learning and applying new technologies
• Contributing to problem-solving throughout the development process
• Supporting software used to control hardware platforms, sensors, or custom devices

Requirements

• Strong academic background (2:1 or above) in a STEM discipline
• (Computer Science, Mathematics, Physics, Engineering, etc.)
• Demonstrated ability to tackle difficult or ambiguous technical problems
• Ability to work independently with minimal supervision
• Willingness and ability to learn new tools, languages, and technologies quickly
• Working knowledge of Python

Desirable (Not Essential)

• Experience interfacing software with hardware or embedded systems
• Familiarity with computer networking
• Experience with deep-learning frameworks (TensorFlow, PyTorch)
• Understanding of machine learning, statistics, optimisation, or algorithm development
• Experience developing mobile applications (iOS and/or Android)

Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn.

Role Details

• Location:Near Cambridge
• Working Pattern: Onsite, 5 days a week
• Eligibility: Full UK work rights required (no sponsorship available)
• Opportunity: Work across the entire prototype-to-product lifecycle in a fast-paced R&D environment

Interested? Please Click Apply Now!Software Engineer - Near Cambridge

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at

* As at 31 December 2025

The Team

Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.

Our developers are organised into small cross-functional teams, spanning a range of engineering roles. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.

You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

Our Technology

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++.

We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB (https://arcticdb.io/) our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries.

Technology and Business Skills

At Man we strive to hire only the brightest and best and most highly skilled and passionate technologists.

Key Competencies

Essential

• Exceptional technology skills; recognised by your peers as an expert in your domain
• A keen interest and understanding of financial markets and instruments
• A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
• Strong knowledge of Python
• Proficient on Linux platforms with knowledge of various scripting languages
• Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas
• Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow

Advantageous

• Experience of front office quantitative software development e.g. in a hedge fund or investment bank
• Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
• Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow

Personal Attributes

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Demonstrable passion for technology e.g. personal projects, open-source involvement
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views

Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at .

You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

The Group Investment Management (GIM) Team is hiring for a Senior Manager - Data Scientist to work in the Tooling and Data Team. Your ability to interpret and use data science and analytics to deliver your work and support the team is essential.

You will be able to use pro-actively measure and predict programme execution risk, using machine learning and AI to develop early warning risk indicators helping steer senior leadership attention to the parts of the portfolio where delivery of planned benefits and outcomes is at risk.

Your ability to present a suite of dashboards and metrics to provide senior management with tools for prioritisation and analysis will be key. The predictive risk metrics you will develop will allow timely management intervention, avoiding costly last minute write off and help foster a delivery discipline and delivery transparency culture.

You will play a pivotal role in transforming complex programme data into predictive insights that drive strategic investment decisions. You will take the lead on developing machine learning models and early warning indicators to proactively identify delivery risks across a multi-million-pound change portfolio. This is a unique opportunity to apply your data expertise in a high-impact, enterprise-level environment that values innovation, transparency, and delivery excellence.

Key Responsibilities

• Lead the design and implement machine learning models to predict programme delivery risks and financial overruns.
• Help integrate the insight generated into dashboards and visualisations (eg Power BI) to communicate insights to senior leadership, in collaboration with existing MI teams. Provide leadership to ensure that risk metrics and insights are actionable and trackable.
• Collaborate with senior stakeholders across the business to understand data needs and translate them into technical solutions.
• Conduct data cleaning, preprocessing, and integration from multiple sources (internal databases, APIs).
• Contribute to the development of the Group-wide delivery framework and assurance standards.
• Stay current with advancements in AI/ML and apply them to improve risk prediction and decision-making.
• Support the annual investment planning process with data-driven analysis and scenario

Required Experience & Qualifications

• Proficiency with Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar.
• Experience of LLM prompt engineering for systematic feature extraction from unstructured data.
• Strong SQL and data wrangling skills; experience with ETL processes.
• Solid understanding of statistical analysis and hypothesis testing.
• Experience building and deploying machine learning models in a business context
• Ability to communicate technical insights to non-technical audiences through visualisation tools (e.g., Tableau, matplotlib).
• Familiarity with fine tuning small LLM models to automate small topic extraction tasks from unstructured data.
• Familiarity with cloud platforms (e.g., AWS), especially AWS Bedrock and Snowflake data platform.
• Experience with enterprise programme management / PPM tools such as Clarity, Planview, Asana, and JIRA.
• Knowledge of SAP ERP and Workday systems data.
• Experience in financial services or programme delivery environments.
• Strong communication and collaboration skills.
• Self-starter with the ability to manage multiple priorities in a fast-paced environment.
• Commitment to continuous learning and innovation.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Software AI Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham.

Working at the forefront of national security innovation this Software AI Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready, market leading solutions.

This role would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure.

In return this Software AI Engineer can expect excellent career development and training opportunities within a market leading SME.

Given the nature of the work an active DV clearance would be a massive plus.

This Software AI Engineer based near Birmingham should have most of the following key skills:

• A software engineering background - Python, JavaScript, Typescript node.js etc
• A real passion for bleeding edge generative AI and/or advanced machine learning technology - Pytorch, TensorFlow, LlamaCPP, Keras etc
• Varied database exposure - PostgreSQL, MongoDB, CosmosDB
• Cloud services exposure - AWS preferred but all considered
• Very strong communication skills
• Experience working in R&D or small technical teams would be a plus

This Software AI Engineer will receive

• Starting salary of up £70,000 DoE
• Hybrid working (1 day a week in the office)
• Extensive personal development scheme
• 25 days holiday
• Generous pension scheme
• 10% Bonus
• Private healthcare
• Truly autonomous, collaborative culture with extensive growth potential
• Regular remuneration reviews

So if you are a Software AI Engineer who wants to join a market leading business with innovation at its core please apply now to be considered

Birmingham
Research & development, generative AI, machine learning, LLM, Python, PyTorch

My client is a leading diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. They value autonomy and the ability to quickly pivot to capture opportunities, so they operate using their own capital and trading at their own risk.

Headquartered in Chicago with offices throughout the US, Canada, Europe, and Asia, they trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. They have also leveraged their expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

Operating with respect, curiosity and open minds, the people who thrive here share the belief that it’s not just what you do that matters-it’s how you do it. This is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As an AI Engineer, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to the business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.

Key Responsibilities:

• Drive end-to-end development of AI infrastructure and AI-driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
• Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
• Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
• Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
• Create and maintain feature pipelines, feature stores, and model stores.
• Develop frameworks to enable scalable, reproducible research.
• Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.

Qualifications:

• Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 3+ years of experience working with machine learning and artificial intelligence technology.
• Strong understanding of core machine learning and artificial intelligence concepts.
• Excellent programming skills in Python.
• Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
• Hands-on experience with MLOps and AIOps infrastructure and tooling.
• Proficient in problem-solving and analytical reasoning.
• Exceptional communication and collaboration skills.
• Experience with ML frameworks, such as TensorFlow, PyTorch, TensorRT, or ONNX.
• Experience with Large Language Models, including RAG and fine-tuning techniques.
• Familiarity with compute infrastructure necessary to support operating AI and ML technology.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like more information, please get in touch:

George Hutchinson-Binks
george.hutchinson-binks@oxfordknight.co.uk
(+44) 07885 545220
linkedin.com/in/george-hutchinson-binks-a62a69252

About the Position

My client is a tech-centric prop trading fund, trading a wide range of financial products across the globe. Now looking for an engineer with robust experience in machine learning and strong mathematical foundations to join the growing ML team and to help drive the direction of the ML platform.

Machine learning is a critical pillar of the fund’s global business. The ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing new ideas to be incorporated with relatively little friction. The ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use.

You’ll draw on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it’s neural networks, random forests, gradient-boosted trees, or sophisticated ensemble methods - to aid decision-making so that the right tool is applied for the problem at hand. Your work will also focus on enhancing research workflows to tighten feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modeling techniques, while also being able to break down the mathematics behind them.

If you’ve never thought about a career in finance, you’re in good company. Many of the employees were in the same position before working at this firm. While there isn’t a fixed list of qualifications they’re looking for, if you have a curious mind and a passion for solving interesting problems, you’ll almost certainly fit right in.

Requirements:

• Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production
• A strong mathematical background; good candidates will be excited about things like optimization theory, regularization techniques, linear algebra, and the like
• A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package
• A proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use
• Expertise wrangling an ML framework - they’re fans of PyTorch, but they’d also love to learn what you know about Jax, TensorFlow, or others
• An inventive approach and the willingness to ask hard questions about whether the right approaches are being taken and the right tools being used
• Fluency in English

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like more information, please get in touch:

George Hutchinson-Binks
george.hutchinson-binks@oxfordknight.co.uk
(+44) 07885 545220
linkedin.com/in/george-hutchinson-binks-a62a69252

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
Citi Innovation Labs is a global network of innovation centers focused on delivering cutting edge solutions to all of Citi’s lines of business.

Our Mission is to create a competitive advantage for our clients, manifested as change in the way they operate, by providing innovative technological solutions with strong client engagement, from idea to production, and by leveraging the entrepreneurial spirit and technological excellence fostered in the Innovation Labs.

Our Labs Network is a global organization that spans across New York, London, Tel Aviv. We focus on delivering innovative products using cutting-edge technologies in highly complex architectures and with the highest delivery standards. The Innovation Labs team perform research and implementation in many advanced domains spanning across AI, Machine learning, NLP, Analytics, Blockchain/Distributed Ledger Technology and many more.

The Role:
We’re on the hunt for a highly skilled and experienced senior Engineering manager to lead the delivery of Generative AI solutions at the Citi Innovation Lab. The ideal candidate has excellent track record in high scale engineering products and specifically AI solutions. In this role, you’ll be a key player in driving innovative projects throughout the bank using generative AI and Large Language Models.

Responsibilities:

• Lead an engineering unit responsible for a broad range of AI tools and technologies
• Lead research and development activities globally with the goal of finding innovative solutions with substantial impact potential for the business units across Citi
• Manage executive stakeholder audience in technology by acting as a partner, trusted advisor and operating through influence
• Work with internal and external partners to design, validate and deliver solutions with a commercial benefit for Citi
• Manage multiple concurrent initiatives and projects of varying sizes & complexity
• Engage with technical and business stakeholders to define and design overall architecture for key use-cases
• Work with external vendors and start-ups around joint initiatives and around exploration of new directions. Manage partner and vendor relationships where required
• Partner with Citi’s AI Centre of Excellence to ensure best practice is followed from the perspectives of good governance, risk management, standardization, and tooling.

Qualifications:

• Academic degree in Computer Sciences or equivalent. MSc or MBA - preferred
• At least 15 years of experience in the software industry
• At least 3 years of proven experience in leading an engineering organization (15+ employees)
• 5 years+ experience in Machine Learning, delivering complex solutions to production.
• Great passion and proven hands-on experience with AI technologies
• Strong and diverse technical background. Ability to quickly learn and understand new technologies, influence highly skilled engineering teams and overall have a personal impact on technology decisions and vision.
• Vast experience with cloud architectures, and specific experience with public cloud offerings
• In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar.
• Proficiency in programming languages such as Python.
• Excellent communication skills
• Leadership and organizational abilities
• Excellent analytical and problem-solving skills
• Strategic thinker
• Experience in the financial industry - major advantage
• Background in Securities Services / Custody - major advantage

What we’ll provide you
This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends

Visit ourGlobal Benefitspage to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

We are seeking an experienced and highly motivated Lead Full Stack Developer to join our dynamic engineering team. The ideal candidate will possess deep expertise in Java and ReactJS, coupled with a strong understanding of both relational (RDBMS) and NoSQL databases. This role is critical for driving the design, development, and deployment of robust, scalable, and high-performance applications. The Lead Developer will also play a key role in advocating for and implementing best practices in CI/CD application delivery and will have the opportunity to explore and integrate AI technologies into our solutions.

Key Responsibilities

• Lead the design, development, and implementation of complex enterprise-level applications using Java for backend services and ReactJS for intuitive and responsive front-end user interfaces.
• Architect and manage data storage solutions, demonstrating proficiency with relational databases (e.g. Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB). This includes schema design, query optimization, and data migration strategies.
• Drive continuous improvement in our CI/CD pipelines, ensuring efficient, automated, and reliable application delivery from development to production environments.
• Mentor and provide technical guidance to junior and mid-level developers, fostering a culture of collaboration, excellence, and continuous learning.
• Collaborate with product managers, UX/UI designers, and other stakeholders to translate business requirements into technical specifications and deliver innovative solutions.
• Conduct code reviews, ensuring adherence to coding standards, performance, security, and scalability best practices.
• Troubleshoot and resolve complex technical issues across the full application stack.
• Stay abreast of emerging technologies, industry trends, and best practices in full-stack development, database management, CI/CD, and Artificial Intelligence.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Professional experience in software development, with at least 3 years in a lead or senior full-stack role.
• Strong proficiency in Java development, including Spring Boot, Spring Framework, and related ecosystem.
• Expert-level skills in ReactJS and its core principles, along with experience in popular React workflows (such as Flux or Redux) and component libraries.
• Demonstrable experience with RDBMS (e.g., PostgreSQL, Oracle, MySQL), including advanced SQL, schema design, and performance tuning.
• Solid understanding and hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB), including data modeling and query optimization for these systems.
• Proven experience with CI/CD application delivery management, including tools like Jenkins, GitLab CI, GitHub Actions, Azure DevOps, or similar.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving, analytical, and communication skills.
• Ability to work effectively in an agile development environment.

Preferred Qualifications

• Exposure to Artificial Intelligence (AI) and Machine Learning (ML) concepts, frameworks (e.g., TensorFlow, PyTorch), or practical application of AI in software solutions.
• Experience with message brokers (e.g., Kafka, RabbitMQ) and microservices architecture.
• Familiarity with testing frameworks (e.g., JUnit, Mockito, Jest, React Testing Library).
• Experience with GraphQL.

What we’ll provide you
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Visit ourGlobal Benefitspage to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Are you an experienced data scientist with a passion for productionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists? If so, we’d love to talk to you!

Role summary:

As an individual contributor Principal Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems.

We are looking for a applied data scientist with the proven ability to manage project timelines and deliver high-quality AI products that align with business goals.

The successful candidate will combine strong technical thought leadership with a collaborative approach to ensure team success.

What you’ll be doing:

This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development.

• Lead end to end technical development process including; Design, develop and deploy production-level AI models and data-driven solutions that aligns with strategic business objectives.
• Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications.
• Research and evaluate third-party AI solutions on both functional and non-functional aspects, assessing their suitability based on performance, scalability, and business needs.
• Establish and apply model evaluation and coding standards to maintain production grade code.
• Work closely with business and engineering partners to define project requirements and direction, and establish development roadmaps.

What you’ll bring:

Essential Skills

• Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.
• Strong data analysis skills, with a foundation in probability, to lead robust model development and interpretation.
• Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).
• Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
• Proven track record of setting model quality and coding best practices to ensure high-quality products.
• Excellent communication and negotiating skills for conveying complex technical concepts and project considerations to both technical and non-technical partners.

Desirable skills

• Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability.

Education

Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience

What you’ll get in return:

• High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.
• Competitive benefits: You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
• Industry leadership: This is an opportunity to be a founding member of the organization that’s delivering brand-new products that democratize modeling and analytics solutions.
• Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

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Embedded Software Engineer 6860 Location: Stonehouse (site-based) Hours: Full Time | Permanent Salary: £50,000 – £65,000 per annum Job Description Our client is seeking an Embedded Software Engineer to design and develop high-performance software for advanced electronic systems. This role focuses on real-time embedded development, working closely with hardware teams to deliver robust and reliable solutions. Key Responsibilities of an Embedded Software Engineer: \* Design and develop embedded software in C and C++ for microcontrollers and electronic systems \* Develop low-level drivers and hardware abstraction layers (HAL) \* Implement and optimise communication protocols \* Conduct unit testing, integration testing, and Hardware-in-the-Loop (HiL) simulations \* Take ownership of the full software development lifecycle \* Develop clean, efficient, and maintainable code from concept through to deployment \* Implement structured testing processes to improve reliability in live environments \* Work with data collection systems and IoT-based technologies \* Support database management and maintain system records \* Contribute to research and development aligned with customer and market requirements \* Work with AI/ML tools where required, including sensor-based applications \* Collaborate closely with cross-functional engineering teams Key Skills of an Embedded Software Engineer: \* Strong experience in embedded software development using C and C++ \* Experience working with microcontrollers and real-time systems \* Understanding of hardware-level programming and system integration \* Experience developing drivers and hardware abstraction layers \* Knowledge of communication protocols and IoT systems \* Experience with Python and SQL-based databases desirable \* Exposure to AI/ML tools such as TensorFlow beneficial \* Strong analytical and problem-solving skills \* Ability to write clean, well-structured, and maintainable code \* Confident working in a collaborative, multi-disciplinary environment Additional Information Due to the nature of this role, candidates must have the right to work in the UK and be eligible to obtain UK security clearance. For more information please contact Katie Tyrrell at First Base Employment

£Up to £75,000 GBP

Remote WORKING
Type: Permanent

Data Scientist

Our client is a patented, award-winning cloud-based IoT technology provider, ranked 4th in the EnviroTech Top 50 and recognised globally for innovation in sustainable energy management and smart automation solutions.

As a Data Scientist, you will play a key role at the intersection of smart building technology, IoT, energy optimisation, and predictive analytics. Working with rich telemetry data from connected assets, energy systems, and environmental inputs, you will design and deploy intelligent, scalable analytics that directly improve operational efficiency, reduce energy consumption, and enhance system reliability for global retail customers.

This is a delivery-focused, innovation-driven role suited to a technically strong data professional who is passionate about sustainability software, AI, and transforming complex datasets into measurable business value.

You’ll have the opportunity to:
• Perform statistical analysis and deep data interrogation across diverse, large-scale datasets
• Develop, test, and deploy advanced analytics frameworks that uncover actionable insights
• Design and implement end-to-end data science workflows from concept through to production
• Translate R&D concepts and exploratory analysis into production-ready algorithms and reusable components
• Build machine learning models and design experiments to optimise building performance and asset control strategies
• Select and apply appropriate techniques including regression, classification, clustering, anomaly detection, and time-series analysis
• Collaborate with internal teams to translate business needs into data-led solutions
• Present complex technical insights clearly to both technical and non-technical stakeholders
• Contribute to a culture of curiosity, continuous improvement, and innovation

Your Responsibilities:
• Analyse telemetry, energy, and environmental datasets to drive operational efficiencies and sustainability outcomes
• Develop and evaluate machine learning models tailored to specific optimisation and energy use cases
• Conduct exploratory research and develop prototypes or proof-of-concept solutions
• Work closely with customer success and delivery teams to ensure analytics align with client needs
• Deploy and validate models within production environments, ensuring robustness and scalability
• Maintain and enhance internal best practices, documentation, and reusable frameworks
• Stay informed on developments in Artificial Intelligence and Machine Learning
• Communicate complex findings effectively to stakeholders across technical and commercial teams
• Build strong cross-functional relationships to support successful solution delivery

Key Requirements:
• Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering, or Physics
• Proven experience working as a Data Scientist, ideally within client-facing software or optimisation-focused environments
• Strong proficiency in Python or R, using libraries such as pandas, NumPy, scikit-learn, TensorFlow, or equivalent
• Strong SQL skills for data extraction and analysis
• Solid foundation in statistical techniques and machine learning, including regression, classification, clustering, time-series analysis, and pattern recognition
• Passion for data interrogation with strong analytical thinking and the drive to uncover actionable insights
• Excellent communication skills with the ability to translate complex data into clear business value
• Ability to work independently, manage ambiguity, and prioritise effectively

You will gain exposure with:
• Large-scale IoT and smart building datasets within a cloud-based SaaS platform
• Energy optimisation and automation solutions delivering measurable sustainability impact
• Enterprise retail customers operating globally
• Agile methodologies and cross-functional collaboration across product, engineering, and customer teams
• Cloud-based data platforms and production-grade machine learning deployment
• A vibrant, entrepreneurial culture centred around listening, empowering, innovating, and accomplishing

Why Join?:
• Work with a globally recognised, award-winning IoT platform transforming energy management for high street brands
• Deliver AI-driven solutions that directly reduce environmental impact and operational cost
• Collaborate with ambitious, multi-skilled teams across international offices
• Contribute to cutting-edge sustainability software at scale
• Be part of a selective, merit-based organisation committed to diversity and excellence

Interested? Apply Now, or Reach Out To Aaron O’Neill | LinkedIn

£Up to £145,000 GBP

Up to 15% Bonus

Remote WORKING
Type: Permanent

Principal Data Scientist - Healthcare

Our client is a Leading Digital Transformation Consultancy named a Times Top 100 Company To Work For for seven consecutive years.

As a Principal Data Scientist, you will play a key role in delivering large-scale, high-impact AI solutions across government, healthcare, defence, and commercial sectors. You will provide technical and strategic leadership, shaping AI and data science practices while ensuring responsible, scalable, and production-grade deployment of advanced machine learning, generative, and agentic AI solutions.

Working at the forefront of AI innovation, you will engage with senior stakeholders, including C-level executives, to translate complex technical concepts into measurable business value. This is a senior, client-facing role suited to experienced data scientists who are comfortable leading teams, mentoring talent, and influencing the adoption of modern AI development practices and cloud-native architectures.

You’ll have the opportunity to:

• Lead delivery of complex, production-grade AI/ML solutions at enterprise scale
• Define architectural principles, technical standards, and strategic AI direction
• Shape account strategies and influence commercial AI offerings
• Mentor and develop data scientists, AI engineers, and technical managers
• Foster a culture of responsible AI, innovation, and continuous learning
• Build enduring client relationships and new technology partnerships

Your Responsibilities:

• Own technical leadership and delivery accountability for AI/ML programmes
• Design and assure advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs, and agentic AI
• Implement modern AI engineering practices, including prompt engineering, RAG, and orchestration of agentic AI systems
• Lead data engineering for AI, handling large-scale, unstructured, and multimodal data
• Advise clients on responsible AI practices, model interpretability, and ethical considerations
• Translate technical AI concepts into business outcomes for senior stakeholders
• Collaborate with sales and account teams to shape commercial AI offerings
• Build and lead high-performing teams and wider AI/data science communities

Key Requirements:

• Proven track record delivering complex, production-grade AI/ML solutions at scale
• Strong technical leadership experience in AI delivery
• Deep expertise in machine learning, generative AI, and agentic AI technologies
• Experience with data engineering for AI and integration of non-traditional data sources
• Understanding of responsible AI principles, ethics, and interpretability
• Strong commercial acumen and experience influencing business outcomes from AI products
• Experience building, mentoring, and leading high-performing teams
• Ability to engage and negotiate with C-level and senior stakeholders

You will gain exposure with:

• Modern deep learning frameworks (e.g., PyTorch, TensorFlow) and advanced ML libraries (e.g., scikit-learn, XGBoost)
• Fine-tuning and distillation of LLMs (e.g., GPT, Llama, Claude, Gemini)
• Data storage for AI, vector databases, semantic search, and knowledge graphs
• Open-source AI projects, research publications, and industry thought leadership
• AI security, privacy, and compliance standards (e.g., ISO 42001)

Why Join?:

• Work at the forefront of AI innovation, delivering high-impact solutions across multiple sectors
• Shape the AI strategy and capability of a leading digital transformation consultancy
• Develop your career as a Principal Data Scientist in a supportive, high-performance environment
• Influence commercial AI offerings and client outcomes while mentoring future AI leaders
• Be part of a collaborative, inclusive, and ambitious consulting culture

Interested? Apply Now!

Senior Machine Learning Engineer | Cambridge / Hybrid | £80,000–£120,000 + Bonus Join a fast-growing FinTech/InsurTech company in Cambridge that is transforming how financial and insurance products are built using machine learning and data-driven decision-making. Their platform leverages advanced ML models to power areas such as fraud detection, risk modelling, underwriting optimisation, and customer analytics, enabling smarter and faster decisions at scale. With strong investment and a product-led engineering culture, they are looking for a Senior Machine Learning Engineer to play a key role in building and deploying production-grade ML systems. The Role \* Design, build, and deploy machine learning models for fraud detection, risk scoring, and predictive analytics \* Develop scalable ML pipelines and work closely with data engineering teams \* Collaborate with product and domain experts to translate business problems into ML solutions \* Optimise model performance and ensure reliability in production environments \* Contribute to architecture and best practices across ML and MLOps Key Skills & Experience \* 4+ years’ experience in machine learning or AI roles \* Strong Python skills, with experience in frameworks such as PyTorch, TensorFlow, or Scikit-learn \* Experience deploying ML models into production, including MLOps, CI/CD, Docker, and Kubernetes \* Solid understanding of statistics, data modelling, and software engineering principles \* Experience with cloud platforms such as AWS, GCP, or Azure \* Exposure to financial services or insurance domains is advantageous, but not essential What’s in It for You? \* Work on high-impact ML systems solving real-world financial and risk challenges \* Join a collaborative, engineering-first environment with strong technical ownership \* Competitive salary of £80,000–£120,000, plus bonus \* Flexible hybrid working with a Cambridge-based office \* Clear progression and the opportunity to influence ML strategy What’s in It for You? Apply now or reach out directly for a confidential discussion about this and similar opportunities