We believe in better. And we make it happen.

Better content. Better products. And better careers.

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

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

And we do it all right here at Sky.

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

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

What you’ll bring

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

A Typical Day at the Office

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

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

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

Global OTT Technology

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

The rewards

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

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

Inclusion & how you’ll work

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

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

Your office space

Osterley

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

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

We’d love to hear from you

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

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

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

We believe in better. And we make it happen.

Better content. Better products. And better careers.

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

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

And we do it all right here at Sky.

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

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

What you’ll bring

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

A Typical Day at the Office

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

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

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

Global OTT Technology

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

The rewards

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

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

Inclusion & how you’ll work

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

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

Your office space

Osterley

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

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

We’d love to hear from you

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

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

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

We believe in better. And we make it happen.

Better content. Better products. And better careers.

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

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

And we do it all right here at Sky.

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

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

What you’ll bring

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

A Typical Day at the Office

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

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

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

Global OTT Technology

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

The rewards

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

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

Inclusion & how you’ll work

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

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

Your office space

Osterley

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

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

We’d love to hear from you

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

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

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

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.

Location: Erskine, Scotland (Hybrid 2/3 days per week in the office)
Candidates must be eligible for clearance.

DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness innovation to thrive through change. Serving nearly 6,000 private and public sector clients across 70 countries, DXC combines technology independence, global talent, and an extensive partner network to deliver next-generation IT services and solutions.

We are proud to be recognised globally for corporate responsibility and inclusive workplace practices.

The Role

Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems?

We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment.

If you dont meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn.

What Youll Be Doing

• Deploying, monitoring, and scaling machine learning models in production.
• Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products.
• Supporting the full ML lifecycle, from experimentation to deployment and optimisation.
• Applying best practices in data engineering and contributing to architectural decisions.
• Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency.
• Contributing to a culture of knowledge-sharing and continuous improvement.

Technical Experience

Were looking for experience in many of the following areas:

• Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn.
• Experience with frameworks such as TensorFlow, Keras, or PyTorch.
• Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost.
• Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe).
• Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines.
• Experience working with distributed data processing (e.g., PySpark) and SQL.
• Understanding of software engineering best practices, including version control (Git).
• Knowledge of CI/CD principles in ML environments.
• Experience with cloud-native ML platforms is advantageous.

What Were Looking For

• A collaborative mindset and strong communication skills.
• A thoughtful, structured approach to problem solving.
• A commitment to continuous learning and professional growth.
• The confidence to contribute ideas while valuing diverse perspectives.

Why Join Us?

• Work on meaningful AI projects with real-world impact.
• Join a supportive, forward-thinking team that values inclusion and diverse perspectives.
• Access structured learning, mentoring, and career development opportunities.
• Flexible hybrid working arrangements.
• A workplace culture that supports wellbeing and work-life balance.

What We Offer

• Competitive salary.
• Pension scheme.
• DXC Select comprehensive benefits package including private medical insurance, gym membership, and more.
• Perks at Work discounts on technology, groceries, travel and more.
• DXC incentives recognition tools, employee lunches, and regular social events.

Ready to Shape the Future of AI?

We are committed to building diverse teams and creating an inclusive environment where everyone can thrive. If this role excites you, wed love to hear from you.

Apply today and bring your skills, perspective, and ambition to a team that values innovation, collaboration, and growth.

• 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.

JOB- Machine Learning Engineer

LOCATION- Reading

TERM- Permanent

SALARY- £60,000 to £90,000 per annum (plus benefits)

My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine Learning Engineer to support the development and deployment of intelligent systems from their offices in Reading.

The Machine Learning Engineer will ideally have the following attributes:

Knowledge / experience in Machine Learning, Artificial Intelligence, or Data Science

A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence or similar

Strong programming skills in Python

Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn

Experience working with large datasets and building data pipelines

Knowledge of cloud platforms such as AWS, Azure, or GCP would be beneficial

Experience deploying machine learning models into production environments

Understanding of APIs, data processing frameworks, and software development best practices

Ability to work both independently and as part of a collaborative technical team

Excellent communication skills (both verbal and written)

Keen to develop technically and grow within a fast-paced environment

The Machine Learning Engineer role will involve:

Working within the existing data and engineering teams to develop machine learning solutions

Designing, building, and deploying machine learning models

Preparing and processing datasets for model training and evaluation

Improving model performance through experimentation and optimisation

Collaborating with software engineers to integrate ML solutions into applications

Researching and implementing new machine learning techniques where appropriate

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

TPBN1_UKTJ

JOB- AI Engineer

LOCATION- London (Hybrid 2 days per week in the office)

TERM- Permanent

SALARY- £70,000 to £100,000 per annum (plus benefits)

My client is an innovative fintech company developing intelligent, data-driven products to improve financial services and decision-making. They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office.

The AI Engineer will ideally have the following attributes:

Knowledge / experience in Artificial Intelligence, Machine Learning, or Data Science

A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Mathematics, Data Science or similar

Strong programming skills in Python

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience working with large datasets and building data pipelines

Knowledge of cloud platforms such as AWS, GCP, or Azure

Experience developing and deploying AI/ML models into production environments

Understanding of APIs, microservices, and modern software development practices

Ability to work both independently and as part of a collaborative engineering team

Excellent communication skills (both verbal and written)

Keen to develop technically and grow within a fast-paced fintech environment

The AI Engineer role will involve:

Working within the existing engineering and data teams to develop AI-driven products

Designing, building, and deploying machine learning models

Developing data pipelines and preparing datasets for model training

Optimising model performance and monitoring production systems

Collaborating with software engineers to integrate AI solutions into applications

Researching and implementing new AI techniques to improve product capabilities

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

TPBN1_UKTJ

Job Opportunity: Data Scientist Performance Intelligence Startup · Remote-first · England or Spain £45,000 – £60,000 depending on experience About the Company This is a really exciting opportunity with a fast-growing performance intelligence startup with a genuinely clever concept — think elite sports coaching, but applied to the workplace. The company helps employees, teams, and organisations reach peak performance by uncovering the root causes that hold people back, delivering personalised, data-driven insights and actionable solutions. They drive measurable business impact across things like sales growth, AI adoption, employee retention, burnout reduction, and risk management. It is, in short, a platform that takes data seriously and actually does something useful with it. Refreshing, right? The company is building toward an agent-first platform where AI becomes the primary interface for users — and they are looking for a talented Data Scientist to help make that a reality. The Role (No, you won't just be cleaning CSV files for eternity — though fair warning, some of that is inevitable in any data job.) This is a hands-on, high-impact position where the successful candidate will: \* Build, train, and deploy machine learning models — from exploratory analysis through to production-ready solutions that power the platform. Real models, in the real world. Not just PowerPoints about models. \* Develop and deploy AI agents using Databricks, Google AI Studio and/or Azure AI Foundry. These agents are the primary user interface for the product — so this is genuinely central to what the company does. \* Apply statistical rigour to psychometric and survey data, validating the company's proprietary measurement framework and identifying correlations that drive actionable insights. \* Advance analytical capabilities beyond aggregation — into predictive modelling, deep learning, and generative AI applications. The ambition is there; they just need the right person to execute it. \* Work closely with the CTO and tech team to integrate models into the platform. Collaboration is key — this is not a lone-wolf role. \* Translate complex findings into clear, actionable insights for product decisions and client-facing reports. The ability to explain results to non-technical stakeholders is genuinely valued here. ✅ What They're Looking For The must-haves (non-negotiable, unfortunately — they checked): \* 2–4 years of hands-on experience in data science, machine learning, or applied statistics. \* Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar. \* Solid grounding in statistics — hypothesis testing, regression, correlation analysis, and experimental design. \* Experience with SQL and data manipulation at scale. \* Comfortable with ambiguity and working independently in a fast-moving startup environment. This is not a company with 47 layers of sign-off. Decisions happen quickly. \* Professional English proficiency (B2+ level). ⭐ Nice to Have Bonus points — none of these are dealbreakers, but they would make a hiring manager very happy: \* Experience with GenAI, LLMs, SLMs, prompt engineering, or agentic AI workflows. Given the direction of the product, this is increasingly relevant. \* Cloud AI platform experience — GCP, Azure, Databricks, or similar. \* Startup experience. You know what wearing multiple hats feels like, and you didn't hate it. \* A background in behavioural science, organisational psychology, or psychometrics — the company works heavily with survey data and measurement validation. \* Spark, Databricks, or distributed computing experience. \* Published research or an academic background in statistics, ML, or a quantitative field. What's on Offer \* Salary of £45,000–£60,000 depending on experience, with bi-annual salary reviews. \* Remote-first, flexible working environment. The company trusts its people to get the job done. \* A genuine opportunity to join a high-potential startup at an exciting stage and directly influence the product, technical direction, and culture. \* High ownership — ideas actually get built here, rather than disappearing into a backlog black hole. \* A high-growth career trajectory as the team and product scale. \* A team culture that values passion, autonomy, continuous learning, and collaborative problem-solving. Small egos encouraged. Location Valencia, Spain or East Midlands, England is preferred — but the company is open to candidates across England or Spain. The role requires willingness to meet in person once a month (and more as needed). Worth it for the Valencia weather alone, frankly

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

Up to £475/day Outside IR35 London 2 days per week in Office We are seeking a highly skilled AI Engineer with deep expertise in Agentic AI, Large Language Models, NLP, GenAI pipelines, cloud ML platforms, and vector-based retrieval systems . This is an opportunity to join an advanced AI team building next-generation intelligent systems, multi-agent applications, and high-scale GenAI microservices. You will design, deploy, and optimise production-grade AI/ML systems powering millions of customer interactions. You will work across Python, cloud-native architectures, vector search, RAG frameworks, orchestration engines, and multi-agent systems , shaping AI capabilities that transform how organisations interact, automate, and understand their customers. Key Responsibilities AI / LLM / Agentic Engineering Design, build, and optimise agentic AI systems using frameworks such as LangChain, LangGraph, Vertex AI Agent Builder, Bedrock Agents, AgentKit, CrewAI , and custom orchestration. Build LLM-powered applications using models including GPT-4o/5, Llama3, Claude, Gemini 2.5 Pro, Bard , and enterprise-grade LLM deployments. Implement RAG and CAG architectures using Pinecone, OpenSearch, Google GenAI Search , and custom vector stores. Engineer domain-tuned embeddings using ADA-002, Gecko, Word2Vec, BERT, Sentence Encoder, and topic modelling. AI/ML Pipelines & MLOps Develop scalable AI/ML microservices using Docker, Kubernetes (EKS/GKE), and CI/CD-driven automation. Build and enhance pipelines for model evaluation, bias/drift detection, real-time inference, and monitoring . Optimise inference latency for high-volume, near-real-time applications such as transcript and behavioural analysis. NLP & Applied Machine Learning Apply text clustering, N-gram analytics, sentiment modelling, intent classification, and summarisation for insight extraction. Refine conversational intent taxonomies and behavioural models for more accurate AI assistant interactions. Data Engineering & Cloud Integration Use cloud services including SageMaker, Azure ML Studio, Vertex AI for training, deployment, and monitoring. Manage datasets using GCP Cloud Storage and implement secure, compliant data workflows. AI Governance & Quality Assurance Establish guardrails, safety layers, automated evaluation frameworks, and prompt governance patterns. Ensure all AI systems meet stringent data governance, privacy, and financial-sector compliance requirements. Technical Skills Languages & Development Python, Java, SQL, Shell Scripting, Node.js, Streamlit IDE experience: PyCharm, VS Code, JupyterLab, Eclipse, Notepad++, Sagemaker Studio, Azure ML Studio, Vertex AI Workbench Python Libraries NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, PyTorch, PySpark, SpaCy, SciPy, NLTK, Statsmodels, Boto3, AzureSDK NLP & LLMs BERT, Word2Vec, Universal Sentence Encoder, NLTK, embeddings, fuzzy matching, topic modelling LLM experience: GPT-3.5/4o/5, Llama2/3, Claude, Gemini, Bedrock models, SQuAD fine-tuning, custom RAG agents AI Search & Vector Innovations Pinecone, OpenSearch, LangChain/LangGraph, LangIndex, Vertex AI Search, Vector DBs, RAG pipelines What We're Looking For Proven experience developing production-grade LLM, GenAI, NLP, or agent-based AI systems . Strong engineering foundation across Python, cloud platforms, APIs, and vector search. Experience with complex multi-agent AI orchestration. Ability to deliver high-scale, low-latency AI solutions in demanding environments. Strong collaboration, architectural thinking, and a passion for cutting-edge AI innovation. 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

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

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

A leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps / AIOps), rather than building ML applications from scratch. Key Responsibilities Design and develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML models Required Experience & Skills Proven experience deploying AI/ML models into production (MLOps / AIOps) Strong AWS experience (other cloud platforms will not be considered) Experience with CI/CD pipelines for ML/DL models Proficiency in Python and common ML libraries (e.g. Scikit-learn, TensorFlow, PyTorch) Experience with container technologies (Docker, Kubernetes) Consultancy or client-facing experience preferred Strong communication and stakeholder management skills Qualifications IT / Technology-related degree (e.g. Computer Science, Engineering, Mathematics or similar) Minimum 2:1 classification (or equivalent) Bachelors degree or higher required TPBN1\_UKTJ

3-Month contract - Inside IR35 - market rate Selby based - hybrid working - 1/2 days office based Must have previous experience in energy sector, power generation or power trading industry Key Responsibilities Partner with business stakeholders to identify and prioritise opportunities where data science can deliver measurable value. Collect, clean, and transform structured and unstructured data from multiple internal and external sources. Develop, test, and deploy predictive models and machine learning algorithms to address business challenges. Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers. Communicate insights and recommendations through clear storytelling, visualisations, and dashboards. Collaborate with engineering teams to productionise models and ensure reliability, scalability, and ongoing performance. Evaluate model accuracy and effectiveness, implementing continuous optimisation and tuning. Stay up to date with emerging data science tools, methodologies, and industry best practices. Perform sensitivity analysis to assess model robustness and variable impact. Required Skills and Qualifications At least 5 years' experience in client‑facing data science roles with demonstrable impact on business outcomes. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline. Strong proficiency in Python or R, including libraries such as pandas, scikit‑learn, NumPy, TensorFlow, or PyTorch. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Hands‑on experience applying a range of supervised and unsupervised machine learning techniques (e.g., Random Forest, regression models, clustering methods). Proficiency with SQL and data warehousing technologies. Ability to translate complex analytical findings into clear, practical business recommendations. Strong problem‑solving skills and natural curiosity for exploring and understanding data. Industry experience in power generation and power trading Preferred Skills and Qualifications Experience working with cloud platforms such as Azure, AWS, or Google Cloud. Background in deploying machine learning models into production environments (MLOps experience is advantageous). Hands‑on experience with big‑data or distributed computing tools such as Spark and Databricks. Familiarity with visualisation tools such as Power BI, Tableau, or Plotly. Key Competencies Strong analytical and conceptual thinking. Excellent communication and data‑storytelling capabilities. Effective collaboration and stakeholder‑engagement skills. High attention to detail and commitment to data accuracy. Continuous learning mindset and openness to new techniques and technologies.Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change

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

This is a great time for a junior-to-mid-level Python Developer, to consider joining an established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will be joining a dedicated R&D team that leverage machine and deep learning for the computer vision and signal processing algorithms that underpin an innovative patient-monitoring platform, deployed in 100s of hospitals across the UK and US.

Using existing Python skills to support the research, development, deployment and monitoring of deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks.

The Company

The Python Developer will be joining a company whose platform has been scientifically proven to deliver safer, high-quality and efficient patient care, at an exciting time of growth and expansion into new markets. As a well-funded scale-up, they offer an entrepreneurial team spirit, where you’ll be contributing directly to the team’s success. Working predominantly remotely, you’d ideally be onsite a couple of times each month, although there will be other opportunities for meeting up as a team off-site.

Benefits

• Predominantly remote working
• 25 days’ holiday, with the ability to purchase more
• Private health insurance
• Personal Learning & Development budget
• Wellbeing days

What’s required to be successful in this role?

• Demonstrable programming ability in Python, preferably within a data context
• A STEM-related degree
• Some experience with the Python scientific stack (NumPy, Pandas, SciPy, etc.) is preferred
• Experience with Docker, GIT and Linux

So What’s Next?

If you are an experienced Python Developer looking for your next technical challenge and the opportunity to further develop your skills; apply now for immediate consideration!

Software Developer, Python Developer, Software Engineer, Python

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