Machine Learning Researcher

Location: Cambridge, UK (Hybrid)
Salary: Up to 85k DOE

We’re recruiting on behalf of a Cambridge-based AI research company developing data-efficient machine learning solutions for complex engineering and optimisation problems.

This is an opportunity to join a highly research-driven ML lab, working on probabilistic modelling, Bayesian optimisation and decision-making methods, with a strong emphasis on theoretical rigour and real-world impact. The team regularly publishes at top-tier machine learning conferences and contributes to open-source ML libraries.

The Role

You’ll conduct original research in areas such as probabilistic models, active learning and Bayesian optimisation, while collaborating closely with other researchers and applied teams. The role blends academic-quality research with practical application, including contributions to product development and customer-facing research projects.

About You

• PhD in Machine Learning, Statistics, Optimisation or a related field (or equivalent research experience)
• Track record of publications in ML, statistics or optimisation venues
• Experience or strong interest in:

• Probabilistic modelling (e.g. Gaussian Processes, Bayesian methods)
• Decision-making methods (Bayesian optimisation, bandits, RL, active learning)

• Strong numerical programming skills (Python; NumPy; TensorFlow and/or PyTorch)
• Collaborative mindset and enthusiasm for research excellence and continuous learning

If you or anyone you know could be interested, please reach out to Fintan at TEC Partners for all of the details.

Machine Learning Developer (Document AI & NLP)

Duration:6-month contract (FTC/Subcon) role

Hybrid 3 days onsite

Location:Sheffield

The Role

You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support.

Core Responsibilities

• Model Development: Build and iterate on models for content extraction and classification.
• End-to-End Delivery: Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
• Collaboration: Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
• Innovation: Continuously test and improve existing features using traditional ML and Generative AI.

Technical Requirements

Mandatory Skills:

• Azure Machine Learning: Proven experience within the Azure ecosystem.
• Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
• Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP.

Frameworks & Tools:

• ML/DL: TensorFlow, PyTorch, or Hugging Face.
• Processing: OpenCV, Spacy, Regex, and OCR technologies.
• DevOps/Security: Experience delivering secure, resilient code and managing APIs.

Nice to Have:

• Knowledge of PostgreSQL for data management.
• Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
• Experience in high-cadence production environments.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Location: Bristol, Cambridge, Edinburgh

Role Overview:

Early stage start up specialising in AI chip design

Key Responsibilities:

• Collaborate with our team to design, develop, and optimize a new chip architecture for our AI processor.
• Conduct research and analysis to identify cutting-edge trends, techniques, and technologies in the field.
• Develop and implement innovative solutions to address power, performance, and area (PPA) challenges.
• Evaluate and optimize algorithms and models for implementation in hardware.
• Collaborate with software and hardware engineers to ensure seamless chip integration with other system components.
• Create and maintain design documentation, including specifications, block diagrams, and interface definitions.
• Support prototype testing, debugging, and performance evaluation.

Experience Required:

• BS / MS / PhD in Electrical Engineering, Computer Engineering, or a related field.
• Excellent academic record in integrated circuit (IC) design, ideally focusing on AI accelerators or related technologies.
• Proficiency in ASIC or FPGA design flow, RTL design, and verification (using Verilog)
• Strong understanding of digital circuit design and computer architecture.
• Familiarity with neural network algorithms and computational models
• Experience with industry-standard EDA tools (e.g., Vivado or Cadence, Synopsys, or Mentor Graphics)
• Strong problem-solving skills and the ability to work independently and collaboratively
• Excellent communication and interpersonal skills

Nice-to-have:

• Publications or patents in GPU / AI accelerator design or related fields
• Experience with FPGA prototyping and emulation
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch)

Whats Offered:

• Salary : Competitive and commensurate with experience and qualifications
• Equity : Stock options in our early-stage startup, providing significant potential for financial growth as the company succeeds
• Bonus : Performance-based annual bonuses, subject to company and individual performance metrics

A unique opportunity for an Audio Systems Engineer to join a very early-stage London technology company building a next-generation edge device product currently in stealth. Founded in 2024 by an exceptionally experienced team of product designers and engineers, several of whom have previously built and exited companies for significant sums, this is a genuine ground-floor opportunity to shape a product from first principles.
This is a small, high-calibre team spanning hardware, embedded systems, software and machine learning. They are building something ambitious, technically complex and product-led, with audio forming a central pillar of the roadmap.

Salary: £55,000 to £70,000 per annum + equity + benefits. £55,000 is realistic for someone straight from PhD level with strong relevant foundations.

Location: Central London, 4 days per week onsite.

Requirements for Audio Systems Engineer:

• Strong academic or commercial experience in audio DSP and signal processing
• PhD in Audio Engineering, Signal Processing, Electrical Engineering, Computer Science or similar, or MSc with strong relevant experience
• Top academics throughout including a 2.1 or 1st degree and at least ABB at A Level
• Strong programming skills in C or C++ with experience working in real-time or low-latency environments
• Practical Python experience for analysis, benchmarking and evaluation tooling
• Experience shipping embedded audio systems or major audio subsystems into production, either commercially or through advanced research
• Strong fundamentals in DSP blocks such as filtering, AGC, DRC, noise suppression, VAD or echo control
• Ability to operate effectively in a fast-paced startup environment
• Strong communication skills and ability to collaborate across hardware, embedded and ML or cloud engineers
• Willingness to work onsite in Central London 4 days per week

Experience in the following would be beneficial:

• Audio codecs and streaming pipelines such as Opus, AAC, RTP or WebRTC-style systems
• Hardware-adjacent experience such as I2S, ADC or DAC, DMA, SPI, I2C or UART
• Experience using oscilloscopes or logic analysers
• Audio measurement techniques and designing repeatable evaluation methodologies
• Always-on or low-power audio detection systems
• Familiarity with ML frameworks such as PyTorch or TensorFlow
• Experience with GStreamer, WebRTC audio processing, SpeexDSP, RNNoise or similar

Responsibilities for Audio Systems Engineer:

• Design, implement and tune a robust end-to-end audio pipeline from real-time capture on-device through to cloud-based processing
• Deliver reliable performance in noisy, unpredictable real-world environments
• Implement and optimise DSP components under tight compute and power constraints
• Define objective performance metrics and build repeatable evaluation and regression testing harnesses
• Debug audio issues across the full stack using instrumentation, profiling and lab equipment where required
• Work closely with ML and cloud engineers to enable audio-driven intelligence via offline and online pipelines
• Collaborate with cross-functional teams to balance quality, latency, compute, power and system complexity
• Contribute to engineering best practice, documentation and design discussions as the team scales

What the role offers:

• A genuine greenfield opportunity within a stealth product
• High ownership and influence over the audio subsystem from day one
• Close collaboration with an experienced founding team
• Equity alongside salary
• The opportunity to build intelligent audio systems that unlock richer data insight than video analytics alone

Applications:
If you would like to apply for this unique Audio Systems Engineering role then 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, for example due to a disability, please highlight this by separately emailing . If this email address has been removed by the job board, full contact details are available on our website.

Keywords: Audio Systems Engineer / Embedded DSP Engineer / Audio DSP Engineer / Signal Processing Engineer / Embedded Software Engineer / Audio ML Engineer / Edge AI Engineer / Real-Time Systems Engineer / Acoustic Engineer / C++ Engineer / Embedded C Engineer / Audio Software Engineer / C / C++ / Python / DSP / AGC / DRC / VAD / Echo Cancellation / Opus / AAC / WebRTC / RTP / I2S / SPI / I2C / DMA / PyTorch / TensorFlow / GStreamer / SpeexDSP / RNNoise / Audio Engineering / Electrical Engineering / Signal Processing / Computer Science / Acoustics

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.

Machine Learning Developer (Document AI & NLP)

Duration:6-month contract (FTC/Subcon) role

Hybrid 3 days onsite

Location:Sheffield

The Role

You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support.

Core Responsibilities

• Model Development: Build and iterate on models for content extraction and classification.
• End-to-End Delivery: Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
• Collaboration: Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
• Innovation: Continuously test and improve existing features using traditional ML and Generative AI.

Technical Requirements

Mandatory Skills:

• Azure Machine Learning: Proven experience within the Azure ecosystem.
• Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
• Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP.

Frameworks & Tools:

• ML/DL: TensorFlow, PyTorch, or Hugging Face.
• Processing: OpenCV, Spacy, Regex, and OCR technologies.
• DevOps/Security: Experience delivering secure, resilient code and managing APIs.

Nice to Have:

• Knowledge of PostgreSQL for data management.
• Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
• Experience in high-cadence production environments.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Are you an experienced Lead Data Scientist looking to shape AI strategy, mentor a high-performing team, and work on cutting-edge LLM and generative AI projects? Our client, a growing data & AI consultancy, is hiring a technical leader to drive innovation and deliver high-impact solutions for customers across multiple industries.
This role includes leading a team of four and acting as deputy for the Engineering Manager when required.
? Why This Role Stands Out

• Work with advanced machine learning, generative AI, LLMs, and modern analytics technologies.
• Lead and develop a talented data science team.
• Blend hands-on technical delivery with strategic influence.
• Hybrid working, excellent benefits, and strong investment in your professional growth.

Key Responsibilities

• Lead and mentor a team of 4 data scientists, supporting skills’ development, career growth and project delivery.
• Deliver end-to-end data science and AI solutions across multiple client projects.
• Build and deploy machine learning models, including LLM-powered and generative AI applications.
• Run client workshops, gather requirements and translate business challenges into data-driven solutions.
• Review code, set best practices and drive high standards in model development and engineering.
• Contribute to technical roadmaps and product innovation.
• Act as stand-in for the Engineering Manager, supporting delivery governance and technical leadership.

Skills & Experience Needed

• Strong commercial experience in data science, machine learning and AI.
• Hands-on experience with LLMs, generative AI, NLP, or advanced modelling techniques.
• Proficiency in Python, SQL and modern data science libraries (e.g., PyTorch, TensorFlow, scikit-learn, HuggingFace).
• Experience mentoring or managing data scientists.
• Confident working in Agile environments with Git/version control.
• Strong communication skills, especially with non-technical customers.

Desirable (SEO-Optimised)

• Experience with cloud platforms (AWS, Azure, GCP).
• Docker/Kubernetes & modern MLOps tooling.
• Experience across NLP, tabular modelling or computer vision.
• Exposure to LangChain, vector databases or AI-augmented development workflows.

Benefits

• 35 days leave, including public holidays.
• Optional additional unpaid leave.
• Hybrid and flexible working.
• Pension + private health insurance.
• Funding for training, learning resources and conferences.
• Regular knowledge-sharing sessions and team events.

How to ApplySubmit your CV through Hays or contact your Hays consultant for more details.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

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.

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.

Are you an experienced Lead Data Scientist looking to shape AI strategy, mentor a high-performing team, and work on cutting-edge LLM and generative AI projects? Our client, a growing data & AI consultancy, is hiring a technical leader to drive innovation and deliver high-impact solutions for customers across multiple industries.
This role includes leading a team of four and acting as deputy for the Engineering Manager when required.

Why This Role Stands Out

• Work with advanced machine learning, generative AI, LLMs, and modern analytics technologies.
• Lead and develop a talented data science team.
• Blend hands-on technical delivery with strategic influence.
• Hybrid working, excellent benefits, and strong investment in your professional growth.

Key Responsibilities

• Lead and mentor a team of 4 data scientists, supporting skills’ development, career growth and project delivery.
• Deliver end-to-end data science and AI solutions across multiple client projects.
• Build and deploy machine learning models, including LLM-powered and generative AI applications.
• Run client workshops, gather requirements and translate business challenges into data-driven solutions.
• Review code, set best practices and drive high standards in model development and engineering.
• Contribute to technical roadmaps and product innovation.
• Act as stand-in for the Engineering Manager, supporting delivery governance and technical leadership.

Skills & Experience Needed

• Strong commercial experience in data science, machine learning and AI.
• Hands-on experience with LLMs, generative AI, NLP, or advanced modelling techniques.
• Proficiency in Python, SQL and modern data science libraries (eg, PyTorch, TensorFlow, scikit-learn, HuggingFace).
• Experience mentoring or managing data scientists.
• Confident working in Agile environments with Git/version control.
• Strong communication skills, especially with non-technical customers.

Desirable (SEO-Optimised)

• Experience with cloud platforms (AWS, Azure, GCP).
• Docker/Kubernetes & modern MLOps tooling.
• Experience across NLP, tabular modelling or computer vision.
• Exposure to LangChain, vector databases or AI-augmented development workflows.

Benefits

• 35 days leave, including public holidays.
• Optional additional unpaid leave.
• Hybrid and flexible working.
• Pension + private health insurance.
• Funding for training, learning resources and conferences.
• Regular knowledge-sharing sessions and team events.

How to ApplySubmit your CV through Hays or contact your Hays consultant for more details.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found on our website.

Generative AI Leader / Lead Generative AI Engineer / AI Architect / Generative AI Lead / Gen AI Lead / AI Architect

Location: South West, UK (Hybrid Working)
Salary: Up to £150,000 + package
Company: Hiring on behalf of a client via 167 Solutions Ltd

167 Solutions Ltd is partnering with an innovative organisation in the South West to appoint a Generative AI Leader. This is a senior, high-impact role for a visionary who can operate both as a trusted advisor to executive stakeholders and as a hands-on technical leader driving delivery of enterprise-grade AI solutions.

The Opportunity

You will define and lead the organisations Generative AI strategy, translating cutting-edge capabilities into real business value. The role requires a rare blend of commercial advisory expertise, architectural oversight, and technical delivery leadership across large-scale AI programmes.

Key Responsibilities

• Define and execute the enterprise Generative AI strategy aligned to business objectives
• Advise C-suite and senior stakeholders on AI adoption, governance, risk, and value realisation
• Lead the design, architecture, and delivery of GenAI solutions from concept to production
• Establish AI operating models, best practices, and responsible AI frameworks
• Build and lead high-performing multidisciplinary teams (Data Science, ML Engineering, MLOps)
• Identify use cases across functions (customer experience, operations, knowledge management, automation)
• Ensure scalability, security, and compliance of AI platforms

Required Experience

• Proven leadership delivering Generative AI programmes at enterprise scale
• Strong advisory background engaging senior business leaders
• Deep technical expertise across modern AI/ML ecosystems
• Track record of translating emerging technologies into measurable outcomes

Technical Expertise

Generative AI & LLMs

• Large Language Models (GPT, Claude, Llama, Mistral or similar)
• Prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation)
• Multimodal AI (text, image, audio, video)
• Agentic frameworks and orchestration

AI/ML Engineering

• Python, PyTorch, TensorFlow, JAX
• NLP, deep learning, model optimisation
• Evaluation frameworks and guardrails

Data & Platforms

• Vector databases (Pinecone, Weaviate, FAISS, Milvus)
• Knowledge graphs and semantic search
• Data engineering pipelines

MLOps & Deployment

• CI/CD for ML, model monitoring, versioning
• Kubernetes, Docker, serverless architectures
• MLflow, Kubeflow, SageMaker or similar

Cloud & Architecture

• Azure AI, AWS AI/Bedrock, Google Vertex AI
• API-led architectures and microservices
• Security, governance, and responsible AI

Frameworks & Tooling

• LangChain, LlamaIndex, Semantic Kernel or equivalent
• Integration with enterprise systems (CRM, ERP, collaboration platforms)

Desirable

• Experience in regulated environments
• AI ethics, governance, and compliance knowledge
• Background in consulting or digital transformation

Why Apply

This is a rare opportunity to shape AI strategy at scale while remaining close to delivery. You will influence how an organisation embeds Generative AI into its core operations and future growth.

-AI Engineer

-Edinburgh / Hybrid

-Excellent Salary & Benefits

-Immediate Start

Truly unique new role to the market from one of the UK’s fastest growing tech firms, which is servicing some of the largest global companies and growing at an exciting rate.

We are looking for talented AI Engineers at Senior and Mid-level, with a strong interest or experience in designing, building, and deploying intelligent systems - with a strong focus on agentic AI. Whether you already have hands-on experience building agentic workflows or you’re deeply curious and eager to be involved in this space, we’d love to hear from you.

The role will involve working on impactful projects, influencing technical direction and helping shape how AI is applied. Importantly, everything is driven by R&D and AI innovation, focused on tackling the most challenging aspects of AI. You will work closely with product, engineering and data teams to turn cutting-edge machine learning and AI research into scalable, production-ready solutions.

This is a superb opportunity with a forward-thinking and expansive client, with candidates being considered from a variety of unique and diverse backgrounds.

Key Responsibilities:

Design and implement AI systems using LLMs and agent-based architectures for production use.

Build and maintain scalable data pipelines and model training workflows

Build autonomous or semi-autonomous agents that can reason, plan, and take actions

Evaluate, iterate, and improve AI system performance, safety, and reliability

Experiment with frameworks for agentic AI

Collaborate with product and engineering teams to turn ideas into production-ready AI features

Stay up to date with the fast-moving AI/LLM ecosystem

Required Skills & Experience (A blend of):

Strong experience with Python and common ML libraries (e.g. PyTorch, NumPy, Panda, TensorFlow, scikit-learn)

Experience with LLMs and fine tuning (OpenAI, open-source models)

Hands-on experience with agent frameworks (e.g. LangGraph, AutoGen, CrewAI, etc.)

Experience deploying AI systems to production

AI Solution design

Experience deploying models into production environments

Experience of data processing tools and databases (SQL, NoSQL, or big data frameworks)

Commercial expertise building microservices

Strong problem-solving skills and the ability to work independently

Curiosity and enthusiasm for agentic AI, even if your experience is still evolving

Comfortable working in fast-moving, experimental environments

The above is not exhaustive. Please forward your CV to to discuss this requirement in more detail.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

TPBN1_UKTJ

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.

Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we’re building a community committed to safeguarding a safer and more connected world.

This Senior Data Scientist & Machine Learning Researcher is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. In this role 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.

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.
• Provide technical leadership in small project groups.
• Generate ideas for new research directions.
• Advise on suitability of group research ideas based on previous experience.
• Mentor more junior team members within their project team and the wider SRG.
• Deliver AI/ML/Data Science solutions to broad range of problems in defence.
• Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
• Prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise.

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).
• Have an established track record 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 other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries.

Desirable Skills & Experience

• Experience using robust ML pipelines, appropriate version control and environment management (e.g. venvs / Docker)
• Working knowledge of Linux systems, using basic commandline functionality
• Experience of deploying AI models in a scalable way for external users.
• Experience working with cloud services
• Experience of writing technical project proposals.

Benefits

• 25 days holiday + statutory public holidays, plus opportunity to buy / sell up to 5 days
• Contributory Pension Scheme (up to 10.5% company contribution)
• Company bonus scheme (discretionary)
• 6 times salary Life Assurance
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work
• Enhanced sick pay
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave

Work Culture

• 37hr working week, with an early 1.30pm finish Friday
• Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role
• Flexible working culture that is output, not time spent at desk, focused. Formal flexible working arrangements can also be requested.
• Up to 5 paid days volunteering each year

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.

Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We’re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.

Our Principal Data Scientist & Machine Learning Researcher sits within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects.

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development.

Hybrid role: 3 days a week at our site(s) or customer site min

Must be eligible and willing to gain SC & eDV clearance

Responsibilities

• Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement.
• Bring ideas for novel research that will drive competitive advantage in across our customer community.
• Work with autonomy to develop complex, novel data science solutions.
• Support in triaging and responding to opportunities, aligning to the group and wider business strategies.
• Design and deliver data-centric solutions while working collaboratively across disciplines.
• Technical delivery of research and applied AI/ML tasks on both customer and internal research projects.
• Provide technical leadership across multiple projects.
• Manage more junior team members across the SRG.
• Deliver AI/ML/Data Science solutions to broad range of problems in defence.
• Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
• Prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise.

Required Skills & Experience

• Strong experience of delivering novel ML solutions to customers and internal stakeholders
• Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices
• Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment
• Experience of appropriate version control and environment management (such as venvs or Docker)
• Experience of writing technical project proposals
• Experience of managing teams either line management or technically
• Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research 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
• Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions

Desirable Skills & Experience

• Experience of deploying AI models in a scalable way for external users.
• Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs)
• Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd)
• Experience working in Cloud services

Benefits

• 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days
• Contributory Pension Scheme (up to 10.5% company contribution)
• Company bonus scheme (discretionary)
• 6 times salary Life Assurance
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work
• Enhanced sick pay
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave
• Private Medical Insurance (dependant on grade)

Work Culture

• 37hr working week, with an early 1.30pm finish Friday
• Flexible working culture that is output, not time spent at desk, focused. More formal flexible working arrangements can also be requested.
• Up to 5 paid days volunteering each year

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.

Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We’re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.

Edge AI Engineer Wireless Comms Start up Oxford / Hybrid £70,000pa - £90,000pa:

A once in a lifetime opportunity has arisen for an Edge AI Engineer to have a major impact in the development of next generation wireless communications which will revolutionise several key industries.

If you really want to contribute to future technology, and AI, Data Science, or Machine Learning is your passion then this early stage, fast paced, and independently funded start up wants to hear from you. Led by an incredibly talented team of industry experts, and with strong links to the University of Oxford, they are on a mission is to enable safe and efficient communication systems which will ultimately protect our way of life. By joining them, you Edge AI Engineer will create a substantial impact by developing critical technology that will save lives and ensure our society remains safe in an ever-changing world.
Key responsibilities:

• Designing and optimising ML models to enhance secure communications and signal processing on a range of edge devices.
• Implementing low-latency, high-performance deep learning pipelines on hardware accelerators such as FPGA, TPU, and ASICs.
• Optimising CNN, Transformer, RNN, and/or GNN architectures for deployment on low-power embedded systems.
• Apply quantisation, pruning, distillation, and model compression to enhance efficiency.
• Strengthening model robustness against adversarial attacks and system-level security threats.
• Collaborating with embedded and security engineers to align AI performance with real-world system constraints.

Edge AI Engineer essential experience & skills:

• Master’s or Ph.D. (or equivalent experience) in Data Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong proficiency in Python with practical experience of PyTorch or TensorFlow.
• Working knowledge of implementing and optimising deep neural networks (e.g. CNNs, Transformers, GNNs)
• Hands-on experience with embedded C/C++ for model integration with an understanding of low-latency and low-power constraints in real-time systems.
• Awareness of adversarial ML and model robustness techniques
• Understanding of secure-by-design principles and trusted execution concepts for AI on edge devices.
• Keenness to work on meaningful problems within the context of UK Defence and Security.

Edge AI Engineer desirable experience & skills:

• 5+ years of experience in AI/ML systems development.
• Understanding of training-inference workflows, including data preprocessing, model evaluation and benchmarking.
• Familiarity with hardware accelerators (FPGA, TPU, ASIC, GPU-based inference).
• Experience with model optimisation techniques: quantisation, pruning, knowledge distillation and model compression.
• Proficient with Git, CI/CD and Linux-based development environments.
• Ability to document and test code for reproducibility and maintenance.

If you have experience working on Edge AI and you have a deep passion for AI, Data Science and Machine Learning, then our wireless communications start up wants to hear from you. Drop a LinkedIn connection, drop him an InMail, or phone call to discuss this amazing opportunity in more detail.

MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven t heard back in this time your application has been unsuccessful at this time

MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).

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.

Geospatial Data Engineer - Contract
Remote UK
£420 per day
12 Months - the entirety of 2026 into 2027
Deemed Outside IR35 (pending QDOS assessment)
This Contract Geospatial Data role is a fantastic opportunity to work on cutting edge data problems at a leading environmental risk consultancy. The position has arisen due to the success and growth of Bright Purple’s impressive established client. They are a leading player in their field with a powerful and highly regarded platform built using the latest technologies.
You will be working in a team of software and data engineers supporting data workflow & orchestration, within an AWS environment and must have experience of RASTER data sets.
In this role, you will be:

• Developing ETL pipelines - Raster, Vector, Tabular data
• Configuring CI/CD pipelines
• Managing data storage within an AWS environment
• Improving data automation, workflow and efficiency
• Developing Python based ML pipelines

Key skills for this role include:

• Good knowledge of Python programming
• Experience in cloud computing (ideally AWS)
• Strong experience across industries in both Geospatial and non-Geospatial domains
• Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps)

Preferred Experience:

• Experience with frameworks like Metaflow, Prefect, etc.
• Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases

Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

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

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

Hybrid: 1-2 days per week in the office (London)
Permanent
£100k-£150k DOE + Bonus + Benefits

Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI. We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise-wide AI capability.

This is a high-impact, strategic role with responsibility for defining the direction of Data Science and AI across the organisation. You will lead the delivery of production-grade ML and GenAI solutions, build a high-performing specialist team, and partner closely with senior stakeholders to drive measurable business value.

What You’ll Be Doing

• Leading the design, development and productionisation of Machine Learning, AI and GenAI solutions across the business.
• Defining technical standards, best practices and governance for Data Science and MLOps.
• Identifying and prioritising high-impact use cases in partnership with Wealth, Enablement and Technology teams.
• Building, mentoring and developing a high-performing Data Science team.
• Embedding modern MLOps practices including CI/CD, model monitoring, feature stores and version control.
• Working closely with Data Engineering, Architecture and Operations teams to ensure scalable, secure deployment.
• Acting as a senior technical authority and thought leader in advanced analytics and AI.
• Championing innovation, experimentation and continuous improvement in AI and analytics delivery.

Experience Required

• Proven experience in Head of or lead-level Data Science, AI or Machine Learning roles within enterprise environments.
• Strong Python and SQL skills, with experience developing production-grade analytical solutions.
• Hands-on experience with cloud platforms (Azure, AWS and/or Snowflake).
• Expertise in modern machine learning frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow).
• Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases).
• Strong knowledge of MLOps tooling and practices (MLflow, CI/CD, containerisation, monitoring).
• Experience leading, mentoring and developing technical teams.

If you’d like to learn more, please contact Jacob Ferdinand at