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 : 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 : 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.

Location: Remote – Must be UK based
Type: Full-Time
Salery: £60,000-£166,000 depending on experience
Industry: AI / Enterprise GenAI / Agentic Systems

Are you building production-grade GenAI systems — not just demos?

We’re partnering with a cutting-edge AI organisation delivering transformative, agentic AI solutions to enterprise clients. They are looking for a Senior GenAI Solutions Engineer to embed with customers, lead deployments, and build bespoke AI systems that drive measurable business impact.

This is a high-ownership, customer-facing role at the intersection of AI engineering, cloud deployment, and strategic solution delivery.

What You’ll Be Doing

*

Design and deploy enterprise-grade RAG and multi-agent systems

*

Build transformative agentic AI solutions using tools such as LangChain and LangGraph

*

Lead technical delivery from prototype to stable production release

*

Deploy ML systems across AWS, Azure, or GCP environments

*

Embed within client teams to co-develop AI solutions aligned to KPIs

*

Conduct technical debugging and root cause analysis

*

Rapidly prototype innovative AI systems in ambiguous environments

*

Drive adoption and demonstrate measurable business outcomes

*

Implement best practices across AI engineering, DevOps, and MLOps

What We’re Looking For

*

Proven experience building GenAI applications (RAG, multi-agent systems, fine-tuning)

*

Strong understanding of Model Context Protocols, A2A Protocols, Agent Developer Kits, and LLM orchestration and evaluation

*

Experience deploying production-grade ML/GenAI systems in cloud environments (AWS, Azure, or GCP)

*

Strong hands-on data science expertise (pandas, scikit-learn, PyTorch, etc.)

*

DevOps and infrastructure experience including Docker, Kubernetes, Terraform, CI/CD pipelines (GitHub Actions, Jenkins, CircleCI), and GitOps workflows

*

Full-stack engineering capability (Python, JavaScript or similar stacks)

*

Experience in customer-facing technical roles (5+ years)

*

Ability to communicate complex AI concepts to both technical and non-technical audiences

*

Strong risk awareness and proactive problem-solving mindset

Ideal Profile

*

Have scoped and delivered complex systems in fast-moving, ambiguous environments

*

Understand how AI model behaviour impacts product experience

*

Can move seamlessly between engineering teams and executive stakeholders

*

Take ownership of delivery and outcomes — not just code

Education

Graduate degree in Computer Science, Engineering, Statistics, Operations Research, or equivalent practical experience.

Why Join?

*

Work on truly transformative AI deployments

*

High autonomy and ownership

*

Fully Remote working options

*

Direct client impact with measurable KPI outcomes

*

Opportunity to shape next-generation agentic AI systems

*

Fast-growing, innovation-driven environment

First round interviews are being arranged, please send in your CV for a confidential discission

Junior Data Scientist

Stealth AI Fintech Startup | London | Hybrid (3 days on-site)

We’re hiring on behalf of an early stage AI fintech building a platform that is redefining how investors analyse, access, and manage alternative assets (private equity, private credit, and broader private markets).

They’ve built their MVP, raised funding from experienced fintech founders and senior financial services operators, and are now scaling a product at the intersection of AI, automation, and investment workflows.

We’re looking for a high-potential Junior Data Scientist who wants to build production AI systems - not just models in notebooks.

The Role

We’re seeking an Applied AI&Data Scientist who thrives in a hands-on, experimental environment. You’ll help design, build and deploy AI models that form the backbone of the investment intelligence platform, from data processing and model training to inference and automation workflows.

This is ideal for someone who builds fast, iterates relentlessly, and learns even faster and has a genuine passion for AI frameworks, LLMs, and the next wave of intelligent automation

What You’ll Be Doing

*

Designing and prototyping LLM-powered workflows (RAG, embeddings, agentic systems)

*

Cleaning and structuring complex, real-world datasets

*

Building and deploying production-grade ML/AI services

*

Contributing to evaluation, monitoring, and model performance improvements

*

Researching and implementing emerging AI approaches where they create practical value

What We’re Looking For

*

BSc/MSc (2:1+) in Computer Science, Mathematics, Data Science, or related STEM

*

Strong Python skills

*

Experience with PyTorch, TensorFlow, or JAX

*

Practical experience applying LLMs to real problems

*

Broader ML exposure (e.g. tree-based models, deep learning fundamentals)

*

Familiarity with vector databases and RAG pipelines]

*

Experience deploying models via APIs (e.g. FastAPI)

*

Solid understanding of GCP and containerised environments (Docker)

*

High ownership mindset; you prototype, test, and improve independently

*

Right to work in the UK (no sponsorship)

Nice to Have

*

Experience with agentic frameworks (LangGraph, CrewAI, AutoGPT)

*

Fine-tuning or structured model evaluation experience

*

Understanding of transformers and embeddings

*

Exposure to financial data or fintech systems

*

Contribution or Interest in open-source or research side projects

Why Join

*

Build applied AI in a high-value, complex domain

*

Ship quickly in a well-funded early-stage startup

*

Work directly with an experienced CTO

*

Gain real ownership and technical depth early in your career

*

Join at an inflection point as the product scales

A fantastic opportunity for a Senior or Principal Machine Learning Engineer to join a fast-growing, health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. The business is building large-scale, production-grade ML systems applied to complex 3D imaging data.

This role is highly engineering-focused, sitting between machine learning, infrastructure and deployment. You will work closely with ML Scientists and engineering teams to ensure models can be trained and deployed reliably at scale.

Location: 1 day per week in London - Shepherd’s Bush (4 days remote)

Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits

Requirements for Senior / Principal Machine Learning Engineer:

Strong relevant industry experience in machine learning engineering

Strong Python and PyTorch experience

Experience training machine learning models at scale

Experience building and maintaining model deployment and inference pipelines

Hands-on experience using Docker in production environments

Strong Linux and Git skills

Experience working in cloud environments (AWS, GCP or Azure all acceptable)

Experience working with CI pipelines

Proactive, self-sufficient and highly communicative working style

Strong English written and verbal communication skills

Educated to a minimum of Masters Level

Responsibilities:

Develop, train and deploy machine learning models into scalable production environments

Support and improve large-scale model training and inference pipelines

Collaborate closely with ML Scientists to productionise research models

Work with engineering teams to ensure robust, secure and efficient deployment

Contribute to code quality, documentation and best practices across the ML engineering function

What the role offers:

Work on impactful health-tech

Exposure to large-scale, real-world machine learning systems

A technically strong and collaborative engineering environment

Hybrid working with a remote-first approach

Clear cut career trajectory to becoming Head of Machine Learning

Applications:

If you would like to apply for this unique Machine Learning Engineering role, please send your CV via the relevant links.

We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing . If this email address has been removed by the job board, full contact details are readily available on our website.

Keywords: Senior Machine Learning Engineer / Principal Machine Learning Engineer / ML Engineer / Applied Machine Learning Engineer / Computer Vision Engineer / AI Engineer / Research Engineer / Python / PyTorch / Linux / Docker / Cloud ML / CI Pipelines / Model Deployment / Inference Pipelines

RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role is not of interest, please visit our website to see our other opportunities.
We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

AI Engineer - Greenfield AI Project - Leeds (Hybrid) Up to £35,000 My client is seeking Graduates with 18 months+ commercial software experience with an interest in AI, ideally some exposure through personal projects or commercial exposure.

ABOUT THE CLIENT

Due to continued growth, we’re recruiting on behalf of an established Leeds-based software house embarking on a greenfield AI project. This is an opportunity to join at the very start of a new AI function, working closely with senior engineers to shape intelligent products from the ground up.

The organisation has a strong engineering culture, modern tech stack, and a track record of delivering scalable software solutions across multiple sectors.

THE BENEFITS

* Hybrid working from their Leeds office * Dedicated learning and development budget * Mentoring from experienced AI and Software Engineers * Clear progression pathway as the AI capability grows * Exposure to real-world AI deployment in production environments

THE AI ENGINEER ROLE

As an AI Engineer, you’ll join a collaborative engineering team working on the design and development of AI-driven features within a brand-new platform. This is a hands-on role where you’ll contribute to model development, data processing pipelines, and integration of AI services into production systems.

You’ll work closely with software engineers, product teams, and stakeholders to help translate business requirements into scalable AI solutions. Given the greenfield nature of the project, you’ll have genuine influence on tooling, frameworks, and best practice from day one.

AI ENGINEER - ESSENTIAL SKILLS

* Degree in Computer Science, Data Science, AI, or similar * Around 18 months’ commercial experience in a software or AI-focused role * Ideally strong Python development skills * Experience working with data processing and APIs * Understanding of machine learning fundamentals * Familiarity with version control (Git) and Agile environments

TO BE CONSIDERED:

Please either apply through this advert or email me directly via . For further information please call me on 0113 887 8355 / 07441 348 209. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

KEY SKILLS

AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex AI

TPBN1_UKTJ

Job Title: AI Engineer / Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer / Machine Learning Engineer to join their expanding AI practice. This is a high-impact role working on real client projects across generative AI, machine learning and cloud-based solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative AI initiatives using Hugging Face and open-source models Collaborate with data engineers, architects and stakeholders to deliver production systems Required Skills & Experience: 38 years experience in AI, Machine Learning or Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs, RAG pipelines or generative AI applications Knowledge of Docker, Kubernetes or CI/CD for ML Exposure to other cloud platforms (Azure/GCP) Whats on Offer: £80,000£120,000 base salary Work on cutting-edge AI and generative AI projects Rapid career progression within a growing consultancy Collaborative, innovation-focused culture Flexible/hybrid working If youre looking to build advanced AI solutions and want to be part of a consultancy scaling its AI capability, apply now with your CV. TPBN1\_UKTJ

• Role/Job title: AI Architect
• Mode of working London- 3 days onsite
• Type of Employment- Permanent

The Role:

As an Artificial Intelligence Architect, you will lead client-facing initiatives at the forefront of Generative and Agentic AI. This high-impact, senior consulting role blends visionary thinking with deep technical expertise, solution architecture, and strategic advisory. You will be instrumental in shaping innovative AI solutions that drive transformation across enterprise environments.

Your Responsibilities:

• Client Engagement: Partner with sales leaders to qualify opportunities, shape proposals, and build compelling business cases. Act as a trusted advisor to clients during discovery sessions, workshops, and bid processes.
• Solution Design: Translate client needs into fit-for-purpose Data & AI solutions, leveraging modern cloud platforms (Azure/AWS, with GCP/Oracle as a plus). Design AI interventions for application support, monitoring, and business operations.
• Technical Leadership: Lead complex implementations that deliver measurable outcomes. Architect and scale GenAI chatbots and Agentic AI solutions. Evaluate and select appropriate models, frameworks, and orchestration tools.
• Thought Leadership: Produce thought leadership content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape.
• Collaboration: Work closely with cross-functional teams-including data science, engineering, and business stakeholders-to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering.
• Innovation: Contribute to overall account strategy, ensuring technical solutions align with business priorities. Drive productivity and cost optimizations.

Your Profile:

Essential skills/experience/knowledge:

• Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space.
• Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability.
• Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS, etc.).
• Ability to design enterprise-level AI/Gen AI platform/solutions with the client’s existing enterprise stack.
• Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph).
• Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services.
• Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.
• Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow).
• Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).
• Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation.
• Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems.
• Strong articulation, stakeholder management, and consulting skills. Experience working on client proposals RFI/RFP/Orals stages.
• Experience leading a team of AI/software engineers.

Rewards & Benefits:

TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.

We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon.

Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model performance to ensure accuracy and efficiency. Contribute to team knowledge by mentoring and supporting colleagues. Bring creativity and fresh perspectives to problem-solving and technical solutions. What Were Looking For: We welcome applications from women who are passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). Knowledge of distributed data processing (PySpark) and software engineering principles (Git). A collaborative mindset and excellent problem-solving abilities. Experience in data cleansing, exploratory data analysis, and visualisation. A continuous learning mindset and interest in emerging AI/ML technologies. Why Join Us? Work on impactful AI projects with real-world applications. Be part of a collaborative and forward-thinking team. Access to continuous learning and development opportunities. Flexible working arrangements and a supportive work culture. TPBN1\_UKTJ

Raytheon UK has a unique, perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG).

As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution.

Based in Gloucester, Manchester or London in a hybrid capacity (average of 3 days a week on-site). You must be eligible and willing to gain SC and eDV clearance.

Responsibilities

Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance

Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines

Undertake research and applied AI/ML tasks on both customer and internal research projects

Generate ideas for new research directions and provide technical leadership in small project groups

Mentor more junior team members within their project team and the wider SRG

Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery.

Required Skills & Experience

BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field

Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch)

Proven experience of delivering ML solutions to customers and internal stakeholders

Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature.

Experience of training and developing AI models including Large Language Models

Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications

Experience of mentoring and undertaking technical leadership on small projects

Desirable Skills & Experience

PhD. or Masters degree

Experience using robust ML pipelines, appropriate version control and environment management (e.g. venvs or Docker)

Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands)

Experience of deploying AI models in a scalable way for external users

Experience working in Cloud, preferably AWS but also GCP or Azure

Research publications in peer reviewed journals

Experience of writing technical project proposals

Benefits and Work Culture

37hr working week with early finish Fridays - start your weekend early!

An informal, flexible working culture that is output focused

25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteering

Contributory Pension Scheme (up to 10.5% company contribution)

Annual company bonus scheme (discretionary)

6 times salary Life Assurance with pension

Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work, amongst others

Enhanced sick pay

Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave

Raytheon UK

This business area provides DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.

Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. Together, we are not just advancing technology; we’re building a community committed to safeguarding a safer and more connected world.

RTX

Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon.

TPBN1_UKTJ

• Salary: Up to £75k DOE + Bonuses & Benefits
• Location: Cheltenham (3 days on-site per week)
• Security Clearance: Active Enhanced DV (West) Required
• Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI

Who We Are?

We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science.

What Will You Be Doing?

• Applying advanced data science and machine learning techniques to solve complex challenges
• Conducting research and innovation to develop cutting-edge solutions
• Keeping up to date with the latest developments in ML and data technologies
• Engaging in the full data science lifecycle, from data collection to model deployment
• Producing clear and well-documented technical outputs
• Delivering high-quality, impactful project components
• Providing practical, data-driven solutions to clients
• Assisting in proposal development and pitching to stakeholders
• Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector

What Are We Looking For?

Essential Skills & Experience

• Active Enhanced DV Clearance
• Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia
• Strong knowledge of machine learning architectures and models
• Methodical approach to problem-solving and analytical thinking
• Ability to communicate complex technical concepts to a range of audiences
• Strong client relationship management skills

Desirable Skills & Experience

• Experience with cloud-based machine learning services (AWS, Azure, GCP)
• Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation
• Expertise in machine learning frameworks such as TensorFlow and PyTorch
• Knowledge of Natural Language Processing (NLP) and Computer Vision techniques
• Strong understanding of probability concepts and the machine learning lifecycle
• Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo)
• Awareness and application of Ethical AI principles

This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment.

Ready to take your career to the next level? Apply today and be part of something extraordinary!

Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.

KEY SKILLS:

Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance

Location: London (Hybrid) Salary: Competitive + Benefits Halian are representing a leading UK digital publishing organisation is seeking an AI Engineer to drive AI innovation across editorial, commercial, and product teams. This is a newly created opportunity to play a pivotal role in shaping how artificial intelligence is embedded into a large-scale newsroom and digital media environment. You will work cross-functionally to identify high-impact use cases and design practical, scalable AI solutions that improve efficiency, engagement, and decision-making. The Role Design, prototype, and deploy AI-driven tools to enhance newsroom and business workflows Develop prompt-engineered generative AI applications for summarisation, tagging, research support, and operational efficiency Build and test AI agents and automation workflows to streamline repetitive processes Partner with editorial, product, commercial, and technology stakeholders Foster a test-and-learn culture through experimentation and rapid iteration Ensure responsible and ethical AI deployment aligned with organisational standards Stay current with developments in LLMs, generative AI, and applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models in cloud environments (AWS, Azure, or GCP) Strong Python skills and experience integrating APIs and automation tools Commercial mindset with the ability to translate business needs into scalable AI solutions Experience within media, publishing, or digital product environments is advantageous Whats on Offer Competitive salary 25 days holiday (increasing with service) Pension and life cover Employee discounts and wellbeing support Onsite facilities including gym and healthcare support This is an excellent opportunity for an AI Engineer who wants to see their work deployed at scale within a high-impact, fast-paced digital environment. For a confidential discussion or to apply, please get in touch. TPBN1\_UKTJ

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About You You will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help You With Them Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks TPBN1\_UKTJ

AI Architect (Generative & Agentic AI)

Permanent

Location: London (onsite twice a week)

Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus

Shape the next generation of enterprise AI

We’re looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments.

This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery.

You’ll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact.

The Role:

As an AI Architect, you’ll operate at the intersection of strategy, solution design, and delivery.

You will:

• Lead discovery and design of AI-led solutions aligned to business outcomes
• Architect and scale GenAI, RAG, and Agentic AI systems in production
• Advise senior stakeholders on AI strategy, feasibility, and roadmap
• Act as a technical authority during bids, proposals, and client workshops
• Guide engineering teams through complex implementations

This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms.

Key Responsibilities:

Client & Stakeholder Engagement

• Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions
• Act as a trusted advisor in workshops, discovery sessions, and solution design discussions
• Support RFI/RFP responses and client presentations with clear, credible technical direction

Solution Architecture & Delivery

• Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP)
• Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows
• Select appropriate models, frameworks, orchestration tools, and evaluation approaches
• Ensure solutions are secure, scalable, observable, and production-ready

Technical Leadership & Innovation

• Lead and mentor teams of AI and software engineers
• Drive best practices across MLOps / LLMOps, governance, and AI observability
• Contribute to reusable accelerators, reference architectures, and go-to-market offerings

What We’re Looking For:

Essential Experience & Skills:

• Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation
• Strong understanding of:
• Prompt engineering
• RAG pipelines
• Model fine-tuning (supervised / unsupervised)
• MLOps / LLMOps and AI observability
• Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.)
• Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph
• Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries
• Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP)
• Solid software engineering foundations for building scalable, maintainable systems
• Experience leading or guiding teams of AI / software engineers

Consulting & Communication:

• Strong stakeholder management and communication skills
• Comfortable translating complex AI concepts into clear business value
• Experience supporting proposals, bids, and client presentations

Why Apply?

• Work on meaningful, enterprise-scale AI transformation programmes
• Shape AI strategy and architecture, not just build proofs of concept
• High visibility, senior-level role with real influence
• Continuous exposure to modern AI tooling, frameworks, and delivery models
• Strong investment in learning, innovation, and professional development

We are seeking an experienced AI Architect to join a global consulting team. This role is central to shaping enterprise-scale AI transformations, combining deep technical expertise with strategic client engagement.

As a Gen AI Architect, you will:

• Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions.
• Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines
• Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy.
• Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments.
• Drive thought leadership through client workshops, industry forums, and technical advisory.
• Ensure AI solutions meet governance, ethics, and responsible AI standards.
• Collaborate with internal teams and global partners to deliver world-class AI platforms.

Key Skills & Experience:

• 10+ years of technical leadership (with a strong background in Software Engineering / Enterprise scale architecture)
• Knowledge of GenAI operations (ideally, experience governing AI models in production environments)
• Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems.
• Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering.
• Proven ability to engage directly with CxO-level stakeholders.
• Experience in MLOps, AI governance, and large-scale deployment.
• Recognised professional certifications in AI or cloud technologies.

If you have these skills and would like to find out more, please apply now

Machine Learning Developer (Contract)

Based - Warwick

Rate: £500-£600 per day

I am working with Siemens Energy to find an experienced Machine Learning Developer to join their team in Warwick. This is a high-impact role for someone passionate about building and deploying production-ready ML solutions in a cutting-edge energy environment.

About the Role

Siemens Energy is driving the energy transition through innovative technologies and sustainable solutions. They are looking for a skilled ML developer to design, implement, and deploy end-to-end machine learning solutions that directly impact operational and product systems.

As the successful candidate, you will:

• Develop, train, and optimize ML models for real-world applications.
• Prepare, transform, and validate complex datasets to ensure model reliability.
• Apply best practices in model evaluation, mitigating data leakage, and managing the bias/variance trade-off.
• Deploy and monitor models using MLOps approaches (Docker, CI/CD, cloud platforms like AWS/Azure/GCP).
• Collaborate closely with engineering and product teams to integrate ML solutions seamlessly into production.
• Work with modern ML frameworks and libraries such as PyTorch, TensorFlow, HuggingFace, and LLMs/SLMs.
• Write modular, production-grade Python code and maintain proper version control with Git.

Required Experience & Skills

• 5+ years of experience designing and implementing production-ready ML solutions.
• Strong expertise in ML algorithms, model development, training, validation, and optimization.
• Proven experience deploying and maintaining production ML models.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Demonstrated ability to work with complex real-world datasets and perform feature engineering.
• Familiarity with modern ML frameworks and libraries, including PyTorch, TensorFlow, HuggingFace, and LLMs/SLMs.
• Excellent problem-solving skills and ability to work cross-functionally with engineering and product teams.

This is an exciting opportunity to work with Siemens Energy on impactful projects in a collaborative, forward-looking environment.

Junior Data Scientist Stealth AI Fintech Startup | London | Hybrid (3 days on-site) We’re hiring on behalf of an early stage AI fintech building a platform that is redefining how investors analyse, access, and manage alternative assets (private equity, private credit, and broader private markets). They’ve built their MVP, raised funding from experienced fintech founders and senior financial services operators, and are now scaling a product at the intersection of AI, automation, and investment workflows. We’re looking for a high-potential Junior Data Scientist who wants to build production AI systems - not just models in notebooks. The Role We’re seeking an Applied AI&Data Scientist who thrives in a hands-on, experimental environment. You’ll help design, build and deploy AI models that form the backbone of the investment intelligence platform, from data processing and model training to inference and automation workflows. This is ideal for someone who builds fast, iterates relentlessly, and learns even faster and has a genuine passion for AI frameworks, LLMs, and the next wave of intelligent automation What You’ll Be Doing * Designing and prototyping LLM-powered workflows (RAG, embeddings, agentic systems) * Cleaning and structuring complex, real-world datasets * Building and deploying production-grade ML/AI services * Contributing to evaluation, monitoring, and model performance improvements * Researching and implementing emerging AI approaches where they create practical value What We’re Looking For * BSc/MSc (2:1+) in Computer Science, Mathematics, Data Science, or related STEM * Strong Python skills * Experience with PyTorch, TensorFlow, or JAX * Practical experience applying LLMs to real problems * Broader ML exposure (e.g. tree-based models, deep learning fundamentals) * Familiarity with vector databases and RAG pipelines] * Experience deploying models via APIs (e.g. FastAPI) * Solid understanding of GCP and containerised environments (Docker) * High ownership mindset; you prototype, test, and improve independently * Right to work in the UK (no sponsorship) Nice to Have * Experience with agentic frameworks (LangGraph, CrewAI, AutoGPT) * Fine-tuning or structured model evaluation experience * Understanding of transformers and embeddings * Exposure to financial data or fintech systems * Contribution or Interest in open-source or research side projects Why Join * Build applied AI in a high-value, complex domain * Ship quickly in a well-funded early-stage startup * Work directly with an experienced CTO * Gain real ownership and technical depth early in your career * Join at an inflection point as the product scales

Python Software Engineer with strong container orchestration and a passion for machine learning is sought by a high growth scale up based near Cheltenham.

Working at the forefront of defence and national security innovation this Python Software Engineer will work within a collaborative engineering function to build bleeding edge AI/ ML enabled software solutions that keep millions of people safe.

This role would suit software engineers with experience working in an R&D/ innovation focussed environment who are looking for more end to end project exposure and fast track progression opportunity

This Python Software Engineer based near Cheltenham should have most of the following key skills:

• Solid Python engineering skills
• Containerisation (docker, Kubernetes)
• Solid general Machine learning skills - PyTorch,Tensorflow etc
• NoSQL database experience
• Experience working in R&D or innovation focused engineering teams would be a plus
• Front end skills would be useful - Angular, React etc
• An active SC clearance would be a plus but not essential

This Python Software Engineer will receive

• Starting salary of up to £75,000
• Hybrid working (2 days a week in the office)
• Extensive personal development scheme
• 25 days holiday
• 10% private pension scheme
• Bonus
• Private healthcare
• Truly autonomous, collaborative culture with extensive growth potential
• Regular remuneration reviews

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

Cheltenham - Hybrid - Permanent
Research & development, generative AI, machine learning, LLM, Python, NoSQL, PyTorch, Tensorflow, Docker, Kubernetes

Position: Forward Deployed Engineer (B2)
Location: London, UK (Hybrid)
Permanent position

Job Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc.
• Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs
• Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP
• Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)
• Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• 5+ years of engineering and technical deployment experience in a customer-facing set up
• Should scoped and delivered complex systems in rapid and ambiguous environments
• Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks
• Understand how AI model behaviour affects product experience
• Communicate clearly with engineers, product teams, and customer stakeholders
• Flag risks early and seek attention as per the severity

Key responsibilities:

• Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed
• Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams
• Own technical delivery across multiple deployments from prototype to stable release
• Build bespoke AI and transformative agentic AI solutions
• Technical debugging and root cause analysis
• Rapid prototyping
• Implement and administer best practices

Clearance Required: SC

An opportunity is available for an experienced AI Subject Matter Expert to support the implementation and delivery of Automated Intelligence solutions within secure environments.

You will work across technical and business teams to design, develop and deploy AI enabled automation capabilities that integrate into existing enterprise systems.

The Role

You will support the delivery of AI driven automation initiatives across secure programmes. The position requires strong technical capability combined with stakeholder engagement and risk awareness.

Key Responsibilities

• Design, build and deploy automation solutions integrating AI and machine learning models into existing systems and workflows.
• Analyse business processes with stakeholders to identify automation opportunities and define clear requirements.
• Develop automation scripts and build data pipelines covering ingestion, preprocessing and feature engineering.
• Conduct testing, troubleshooting and performance monitoring to maintain system accuracy and reliability.
• Collaborate with data scientists, software engineers and IT teams to ensure seamless deployment.
• Produce clear technical documentation and performance reporting.
• Support contract discussions, stakeholder engagement and business risk considerations where required.

Technical Skills Required

• Proficiency in programming languages such as Python, Java, C# or R.
• Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn.
• Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices.
• Experience with automation and orchestration tooling such as UiPath, Airflow or Kubeflow.

Experience and Capability

• Strong experience delivering AI or automation solutions within enterprise environments.
• Ability to work with cross functional teams and translate technical solutions into business value.
• Experience operating within controlled or regulated environments.
• Strong written and verbal communication skills.
• Experience supporting stakeholder engagement and business risk management.

This role suits a technically credible AI professional who can design and implement automation solutions while engaging effectively across secure and regulated programmes.

To apply, please send your CV by pressing the apply button