Tech Focus: Azure / OpenAI / Copilot

Rate: Inside IR35: £500-£600/day

Location: Fully Remote

This is a fantastic opportunity for an AI Engineer to join a global construction and property consultancy that has undergone significant digital transformation. The organisation has invested heavily in its digital and data foundations and now wants to accelerate its AI capabilities. They have already built an AI platform and identified use cases. They now need an engineer who can help bring them to life.

Although the journey has begun, this hire is critical. As the AI Engineer, you will be driving this forward. Taking a hands-on role in developing AI solutions from the ground up and establishing best practices, standards, and guardrails for future development.

The organisation wants to leverage AI to streamline processes, solve complex challenges, and deliver tangible business outcomes. They work exclusively within the Microsoft Azure ecosystem, so practical experience with AI tooling in a cloud environment is essential.

What We Are Looking For

• Proven, practical AI development experience - building solutions that have delivered real business outcomes
• Experience developing chatbots, agentic AI, or similar applied AI applications
• Strong understanding of best practices, governance, and guardrails for safe and scalable AI adoption
• Scripting experience - Python, R, or Java.
• Hands-on experience with Azure cloud AI services, such as: Azure AI, Azure Machine Learning, Azure OpenAI (Open to candidates with equivalent experience in other cloud environments)
• Experience with Copilot (or similar tools)
• Experience with OpenAI models

Why This Role?

This is a unique opportunity to help to shape the future of AI for a global business and will give you an exceptional opportunity to further develop your skills and take more ownership.

If this sounds like the right fit and you’d like to find out more, please apply directly and we’ll be in touch.

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.

This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group.

What you’ll do

• Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices.
• Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes.
• Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed.
• Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring.
• Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms.
• Stay up to date with industry trends, tools, and best practices in AI engineering

What you’ll bring

• Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK
• Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle.
• Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment.
• Understanding of cloud environments such as GCP, AWS, or Azure.
• Strong analytical and problem-solving skills, with attention to performance and maintainability.
• Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly.

Team overview

We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You’ll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact.

The rewards

• There’s a reason people can’t stop talking about . Our great range of rewards really are something special, here are just a few:
• Sky Q, for the TV you love all in one place
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• Access a wide range of exclusive 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’s 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.

OR

Livingston Watermark House:

Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there’s onsite parking available for cars, motorbikes and bicycles.

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.

This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group.

What you’ll do

• Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices.
• Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes.
• Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed.
• Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring.
• Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms.
• Stay up to date with industry trends, tools, and best practices in AI engineering

What you’ll bring

• Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK
• Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle.
• Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment.
• Understanding of cloud environments such as GCP, AWS, or Azure.
• Strong analytical and problem-solving skills, with attention to performance and maintainability.
• Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly.

Team overview

We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You’ll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact.

The rewards

• There’s a reason people can’t stop talking about . Our great range of rewards really are something special, here are just a few:
• Sky Q, for the TV you love all in one place
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• Access a wide range of exclusive 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’s 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.

OR

Livingston Watermark House:

Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there’s onsite parking available for cars, motorbikes and bicycles.

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.

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

Design and build LLM-powered applications using Python and Generative AI frameworks

Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows

Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks

Engineer scalable AI infrastructure across Azure and GCP environments

Implement prompt engineering, model evaluation and LLMOps monitoring

Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

Strong Python development experience

Experience building production LLM or Generative AI applications

Knowledge of RAG pipelines, prompt engineering and vector search

Experience with agentic AI frameworks (LangGraph, CrewAI or similar)

Exposure to LLMOps, model evaluation or monitoring

Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

Conversational AI or AI assistant platforms

Multi-agent architectures

Responsible AI, AI ethics or guardrail design

Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies.

TPBN1_UKTJ

Job Title: Senior Radiation Physicist

Location: Barrow-in-Furness – Hybrid 3 days minimum onsite.

We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role

Salary: Competitive

Who we are:

Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us.

From the depths of the ocean, to the far reaches of space, there’s no limit to where a career at BAE Systems could take you.

What you’ll be doing:

You will conduct radiological safety assessments and evaluate radiation damage risks to onboard electronics. Your role involves developing radiation detection systems and managing the systems engineering design of secondary shielding. Utilising point kernel and Monte Carlo calculations, you will support radiation transport modelling and provide technical guidance on design changes or defects to maintain safety standards. Additionally, you will develop ALARP justifications to support engineering decisions, ensuring all radiological risks are minimised to compliant and acceptable levels.

Core duties:

• You’ll hold a degree in Mathematics, Physics, Chemistry, Engineering, Nuclear Science, or a related field
• You’ll possess demonstrable knowledge/experience of radiation physics, nuclear engineering, nuclear safety or similar
• You’ll have knowledge/experience of Radiological safety assessments, ALARP justifications or similar
• You’ll utilise your knowledge/experience of radiation transport methods (ATTILLA/MCBEND/MCNP etc.)

The Radiation Physics & Shielding team:

Our team designs and validates radiation shielding for the UK’s nuclear submarine fleet across three major programmes. We handle shield design, build assessments, metrology, and safety studies, while developing novel detectors and electronics capability. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria.

Why BAE Systems?

Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognised for your contribution and enjoy rewards tailored to what’s most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make.

A place where everyone can thrive:

We’re committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do.

Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.

Closing Date: 20th March 2026

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

#LI-GM3

#LI-Hybrid

The Post

This post holder will be responsible for managing the technical development of a web-based battery of measures of curiosity for children. The post holder will work with the project team to implement specified tasks and surveys into a unified web-based platform for data collection in schools, public spaces, and the lab and to develop the data architecture for the battery and produce the pipelines for wrangling and cleaning the data ready for analysis.

The finalised battery will be made available open source for other researchers and educators and resulting data should be shareable. A key part of the role will be documentation of the measures and the resulting data in line with Open Science practices, including preparation of preregistration documents. The post holder will develop training materials for the end users of the battery including researchers and educators. Additionally, the post holder may contribute to research activities such as data collection and data analysis.

The post holder will be an integral member of the dynamic research team at Stirling and Lancaster Universities and contribute to a line of studies assessing curiosity and its effects in primary school age children. The post holder will have opportunities to develop new skills, collaborations, and research ideas within the role.

The University of Stirling has an Agile Working Framework that will enable post holder to work flexibly to deliver the project objectives.

Description of Duties

• Lead the technical development of an open source, web-based battery of curiosity measures including the data architecture, and secure access and sharing, for the Curiosity Battery
• Develop data cleaning, wrangling, and preliminary analysis pipelines for the resulting data
• Collaborate with members of the research team to write methodological and protocol publications
• Harmonise measures and data with existing developmental research platforms
• Develop training materials and train research staff and students on use of the Curiosity Battery as a research tool
• Develop training materials for educators on the use of the Curiosity Battery for remote data collection in schools

Essential Criteria

• Educated to degree level or equivalent in relevant discipline (e.g., psychology, education, data science, or web programming)
• Proven experience developing web-based data collection tools
• Experience developing data cleaning and/or analysis pipelines
• General knowledge and understanding of Open Science practices

Desirable Criteria

• Postgraduate research qualification to Masters or PhD level
• Experience of working with children in research settings
• Experience harmonising data across projects
• Experience in training staff and students in use of data collection tools
• Experience developing documentation for research tools
• Knowledge of curiosity research

Additional Information

Part time (40% FTE)

Fixed term for 12 months

Grade 6: £31,236 - £37,694 p.a. pro-rata

The closing date for applications is midnight on Sunday 05 April 2026.

Interviews are expected to take place on the week commencing Monday 20 April 2026.

There is an expectation that work will be undertaken in the UK.

This role will require a membership of the PVG scheme. An offer of employment will be subject to a satisfactory outcome of this process.

This role is not eligible for sponsorship. Applicants require to have existing right to work in the UK.

The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers and welcome applications from those who would contribute to further diversification of our staff and ensure that equality, diversity and inclusion is woven into the substance of the role. We strongly encourage applications from people from diverse backgrounds including gender, identity, race, age, class, and ethnicity.

For a full description of duties and essential/desirable criteria please click the apply button, which will take you directly to the University Website.

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

Senior 3D Mapping Engineer (Large-Scale 3D/HD Mapping) - First Key Hire
Circa £80k+, London based

An opportunity to take ownership of the mapping capability inside an advanced autonomy start up building real-world robotic systems.

This role sits at the heart of the autonomy stack. The focus is the creation of high-accuracy, reusable 3D / HD maps that support reliable deployment across complex environments. As the first dedicated mapping hire, responsibility sits with you to evolve the mapping architecture, deepen the mathematical foundations behind it, and ensure the maps produced are stable, scalable and production ready.

Working closely with perception, localisation and navigation engineers, the goal is to turn raw multi-sensor data into precise, reusable map products that can be versioned, updated and deployed across fleets. Over time, this role will naturally grow into leading and building the mapping team.

What you’ll be doing

* Designing and evolving scalable LiDAR and vision-based mapping pipelines.
* Creating high-fidelity 3D / HD maps suitable for repeated autonomous deployments.
* Building robust spatial representations including occupancy grids, vector maps, semantic layers and environment models.
* Applying optimisation techniques such as factor graphs, bundle adjustment and pose graph optimisation to maintain global consistency.
* Leading multi-sensor fusion across LiDAR, cameras, radar, GNSS/INS and odometry.
* Developing large-scale capabilities including multi-session mapping, map versioning, delta updates and fleet workflows.
* Ensuring tight coupling between mapping, SLAM and localisation to guarantee drift-free operation.
* Defining accuracy, consistency and validation frameworks for deployed maps.

Experience required

* MSc or PhD in Robotics, Computer Vision, Computer Science, Mathematics or a related field.
* 4-5+ years building mapping systems for robotics or autonomous platforms operating in real-world environments.
* Proven experience creating high-accuracy 3D / HD maps designed for reuse across deployments, not just one-off mapping or research prototypes.
* Strong understanding of the mathematical foundations behind mapping, including pose graphs, factor graphs, bundle adjustment and probabilistic estimation.
* Deep experience working with LiDAR and large-scale point cloud processing (PCL, Open3D or similar).
* Experience combining multiple sensor sources such as LiDAR, cameras, GNSS/INS and odometry to generate globally consistent maps.
* Strong C++ development with experience working in ROS2-based autonomy stacks.
* Solid grounding in geometry, coordinate frames, kinematics and transformation systems.

Why join

You’ll own a mission-critical capability inside a company deploying autonomy in the real world, shaping the mapping stack, influencing the wider autonomy architecture and building the team that will take it forward. An opportunity to define how mapping works in a real-world autonomy platform from the ground up.

Location: Lincoln, Lincolnshire

An opportunity has arisen for a Junior Electronics Engineer to join a highly specialised engineering organisation developing advanced RF and antenna technologies. The company is expanding its R&D capability in Lincoln and is building a small, high-performance technical team focused on solving complex electromagnetic and RF system challenges.

This role is suited to a recently qualified or early-career engineer with a strong grounding in electromagnetics or microwave engineering who is eager to work on technically demanding projects in a fast-paced development environment.

Main Responsibilities of the Junior Electronics Engineer (Lincoln):

• Support the design and development of antenna systems across HF to SHF frequencies
• Perform electromagnetic simulation and optimisation of antenna structures
• Assist in RF circuit design including filters, amplifiers, and switching networks
• Contribute to PCB layout and detailed design activities
• Build, modify, and test RF and antenna prototypes
• Conduct antenna measurements and support validation activities
• Assist with mixed-signal and system-level development tasks
• Support modelling and performance analysis (e.G. MATLAB or similar tools)
• Prepare clear technical documentation and test reports
• Assist with production handover and early-stage manufacturing support
• Support fault finding and root-cause investigations

Requirements of the Junior Electronics Engineer (Lincoln):

• MUST HOLD BRITISH PASSPORT
• Bachelor’s degree in Electronic Engineering or closely related discipline (Master’s advantageous)
• Academic or industry experience in electromagnetics or RF/microwave engineering
• Strong understanding of electromagnetic theory, physics, and applied mathematics
• Familiarity with simulation tools such as CST, HFSS, FEKO, Microwave Office, ADS or similar
• Exposure to PCB design tools (Altium, Eagle or similar) desirable
• Hands-on practical ability including soldering, prototype construction, and use of RF test equipment
• Strong analytical and problem-solving skills
• Clear written and verbal communication ability
• High attention to detail and ability to meet project deadlines
• Eligibility to work in the UK

Working Pattern & Benefits:

• Full-time, permanent role
• Onsite role based in Lincoln with collaborative R&D environment
• Exposure to complex RF and antenna system development
• Strong opportunity for technical growth and progression

To apply for this Junior Antenna & RF Design Engineer role, please send your CV to Kishan Chandarana:

01582 878 830

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

• Design and build LLM-powered applications using Python and Generative AI frameworks
• Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows
• Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks
• Engineer scalable AI infrastructure across Azure and GCP environments
• Implement prompt engineering, model evaluation and LLMOps monitoring
• Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

• Strong Python development experience
• Experience building production LLM or Generative AI applications
• Knowledge of RAG pipelines, prompt engineering and vector search
• Experience with agentic AI frameworks (LangGraph, CrewAI or similar)
• Exposure to LLMOps, model evaluation or monitoring
• Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

• Conversational AI or AI assistant platforms
• Multi-agent architectures
• Responsible AI, AI ethics or guardrail design
• Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies.

Junior Mathematician iGaming Studio
Midlands (Hybrid 3 days onsite: Monday, Tuesday & Thursday)
Salary up to £25,000 - £30,000 DOE

An established iGaming provider is seeking a Junior Game Mathematician to join their game development studio. This role will focus on supporting the creation and validation of the mathematical frameworks behind casino games across both retail and digital platforms.

Working alongside experienced designers and developers, you ll gain hands-on experience with game maths models, contributing to their accuracy, quality, and regulatory compliance throughout the development lifecycle.

What You ll Be Doing:

• Assisting in designing and refining mathematical models for casino-style games
• Running simulations and performing calculations to support game performance validation
• Helping create and maintain clear, structured maths documentation
• Collaborating with development teams to ensure correct implementation of models
• Supporting game submissions with technical documentation
• Analysing competitor products and reviewing performance data
• Contributing ideas to improve processes and modelling approaches

What We re Looking For:

• Some experience (or academic background) in maths, statistics, or related field
• Degree in Mathematics, Physics, or related quantitative discipline (or equivalent practical experience)
• Basic programming knowledge for simulations
• Proficiency in Microsoft Excel
• Understanding of casino maths theory (RTP, volatility, probability models)
• High level of accuracy and attention to detail
• Strong communication skills and ability to collaborate across teams
• Enthusiasm to learn and develop within the role

Benefits:

• 25 days holiday + bank holidays (pro rata)
• Competitive pension scheme
• Life assurance from day one
• Enhanced family leave policies
• Private healthcare support & Employee Assistance Programme
• Hybrid working model (3 days onsite)
• Birthday leave
• Holiday buy & sell scheme
• Employee discounts platform
• Company social events & recognition awards

This is a fantastic opportunity to join a collaborative studio environment and develop your career in game mathematics, contributing to engaging gaming products for multiple markets.

This is a great opportunity to join a collaborative studio environment where you ll play a key role in shaping engaging gaming products for multiple markets. Please apply to

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.

Group AI at Sky

We’re on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky’s innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI."

You’ll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business."

What you’ll do "

• Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics .

• Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation.

• Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing.

• Leverage Sky’s rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks.

• Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment.

• Partner with stakeholders to ensure robust, compliant , and performant AI solutions.

• Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning .

What you’ll bring "

• Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience.

• Hands-on e xperience developing solutions with Large Language Models in enterprise environments .

• Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) .

• Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ).

• Experience with vector databases , data querying languages and retrieval methods.

• A commercial mindset, you understand how data science drives value, not just insight

• Strong communication skill s ; able to frame complex problems in business terms.

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’s 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.

or

Livingston Watermark House:

Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there’s onsite parking available for cars, motorbikes and bicycles.

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.

AI/ML Engineer -Glasgow, UK

Contract role

Onsite mode

Inside Ir35 role

Objective:

Key Responsibilities:

Develop Semantic Mapping Models using LLMs (Large Language Models) to match field descriptions even when labels differ (eg, mapping “Last Traded Price” to PX_LAST).
Implement Fuzzy Matching Algorithms (Levenshtein, Jaro-Winkler, Cosine Similarity) to handle near-matches in text strings.
Build Vector Embeddings of the Vendor Data Dictionary to enable high-speed semantic search.
Design a “Confidence Score” framework to flag low-certainty matches for human review.

AI/ML Skills:

LLMs & NLP: Experience with OpenAI API, LangChain, or HuggingFace Transformers for text-to-field understanding.
Vector Databases: Proficiency in Pinecone, Milvus, or Weaviate for managing high-dimensional data embeddings.
Automation: Building “Human-in-the-Loop” (HITL) workflows to retrain models based on SME feedback.

Tools: Python (PyTorch/TensorFlow), Scikit-learn, BERT, Pandas.

• 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

Machine Learning/Data Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

3-6 month initial

Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.

As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.

We’re looking for individuals with:

Experience: Proven background as a Machine Learning Engineer.

Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).

Data transformation & manipulation : experience with Airflow, DBT and Kubeflow

Cloud: Experience with GCP and Vertex AI (developing ML services).

Expertise: Solid understanding of computer science fundamentals and time-series forecasting.

Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).

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

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

Quant Developer / Data Scientist Location: Flexible (Major Financial Hubs) Experience: 25 Years Compensation: Competitive + Performance-Based Bonus A leading asset management firm is seeking a highly talented Quant Developer / Data Scientist to join its systematic and discretionary investment teams. This is a front-office, high-impact role working directly with Portfolio Managers and Quant Researchers to design, implement, and scale the next generation of research and trading infrastructure. This opportunity is ideal for someone who loves hands-on development, quantitative research, and solving complex data challenges in a fast-paced, intellectually rigorous environment. Key Responsibilities Develop and optimise quantitative research frameworks , signal-generation pipelines, and analytics tools. Work closely with PMs and Quants to translate research ideas into production-grade models and code . Build and maintain high-performance C++ and Python components used for modelling, simulation, and live trading. Design scalable Linux-based data and compute architectures , including feature engineering and large dataset processing. Support the creation of robust backtesting environments , ensuring accuracy, reproducibility, and efficiency. Collaborate with investment teams to enhance portfolio construction, execution logic, and model robustness. Contribute to the broader technology and research roadmap, identifying opportunities for optimisation and innovation. Required Skills & Experience 25 years experience as a Quant Developer, Data Scientist, or Research Engineer within a trading, hedge-fund, or asset-management environment. Strong programming skills in: C++ (performance-critical research and execution components) Python (research, data processing, statistical modelling) Solid experience working in Linux environments, including scripting, debugging, and performance optimisation. Understanding of software architecture and experience contributing to scalable, modular research or trading systems. Strong quantitative background with a degree in a highly technical field (Computer Science, Mathematics, Physics, Engineering, Statistics, or related STEM discipline). Excellent problem-solving skills and the ability to work closely with front-office teams. Bonus / Preferred Skills Knowledge of Japanese equity or derivatives markets (microstructure, trading conventions, data nuances). Experience with time-series modelling, market-microstructure research, or alpha-signal development. Familiarity with cloud compute environments, distributed frameworks, or containerised research infrastructure. Experience with CI/CD, Git, workflow automation, and best-practice engineering processes. What Were Looking For Someone who is: Curious, analytical, and proactive. Excited by the challenge of building research and trading infrastructure from the ground up . Comfortable taking ownership, contributing ideas, and working directly with investment decision-makers. Motivated to work in a performance-driven, collaborative buy-side environment. TPBN1\_UKTJ

Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry. Leveraging technology originally developed at a major global tech firm, they are leading innovation in satellite, airborne, cislunar, and deep-space mesh networks.

They are transforming how planetary-scale networks are orchestrated and managed across land, sea, air, and space.

The Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry.

Youll work at the cutting edge of AI-driven networking and space systems, collaborating with engineers, researchers, and customers globally.

Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration

Build and manage ML training infrastructure using Kubernetes and MLOps tools

Develop and maintain documentation for new algorithms and systems

Integrate AI/ML solutions into the wider Spacetime platform

Act as a technical expert when engaging with customers on ML technologies

Required Skills & Experience MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or similar

Strong Python programming skills

Experience with PyTorch, TensorFlow, or optimisation libraries (e.g. Gurobi, OR-Tools)

Strong technical communication and stakeholder engagement skills

Ability to write clean, efficient, maintainable code

Interest in explaining and presenting complex technology

Desirable Experience in satellite, wireless communications, or software-defined networking

Background in technical sales or customer-facing engineering roles

Experience writing tests for ML systems

Experience with C, C++, or Go

Whats On Offer Remote working within the UK

Competitive salary + pension + private health insurance + equity

Work on world-leading space and AI technology

High-impact projects in space-ground integration and AI-driven networks

Collaborative, international research environment

TPBN1_UKTJ

Job Description AI Engineer Location Erskine, Newcastle, Farnborough or London Candidates are required to be eligible for clearance DXC Technology (DXC: NYSE) is the worlds leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The companys technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. Were looking for a talented and forward-thinkingAI Engineerto join our innovative team. This is a unique opportunity to work on cutting-edge AI technologies and contribute to transformative projects across multiple domains. In this role, youll help design and build modern data pipelines that bring together information from a variety of systemsmaking data accessible, trustworthy, and ready for intelligent analytics and AI solutions. You will collaborate closely with teammates across disciplines and have the opportunity to learn from experienced engineers and leaders. Key responsibilities include: Supporting and contributing to data engineering projects, helping ensure delivery within scope and timelines. Working alongside supportive team members to develop and maintain data pipelines and infrastructure. Partnering with cross-functional teams to understand data needs and shape solutions. Contributing to data quality, governance, and security initiatives. Learning directly from specialists in AI and data engineering. Helping to continuously improve and optimise data processes. Staying current with emerging tools, trends, and technologies. Contributing to a collaborative, inclusive, and growth-focused team culture. What youll bring A Bachelors degree in a relevant field or equivalent experience. Experience with modern data engineering tools and technologies. A growth mindset and passion for continuous learning. Understanding and hands-on experience with Transformer models and LLMs (e.g., GPT, LLaMA, Mistral, Claude). Skills in fine-tuning, prompt engineering, and building RAG pipelines. Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen). Knowledge of reinforcement learning methods or tools (Q-learning, policy gradients, RLlib). Why Join Us? Work on AI solutions that make a meaningful impact across industries. Be part of a supportive, collaborative, and forward-thinking team. Access mentoring, continuous learning, and career-development opportunities. Enjoy flexible working arrangements designed to support worklife balance. Join a company committed to inclusion, wellbeing, and empowering your success. TPBN1\_UKTJ

Algorithms/Software Engineer required for long term contract assignment based in Bristol.

Skillset/experience required:

• Essential:
  • Experience writing, delivering and testing algorithm related software
  • Experience writing software/algorithms within Mathworks tools
  • Verification of requirements and evidence review
  • Rapid assimilation of technical information
  • Ability to work as part of a team
• Desirable
  • Experience writing, interpreting ADA code
  • Specific tools knowledge: IBM Engineering Workflow Management / GIT
  • Sea launched weapons experience

Responsibilities:

• Work alongside algorithm engineers and technical expert to transcode a large, complex legacy algorithm codebase from ADA to Matlab
• As part of a wider team, define, distribute and review core activities to enable efficient completion of the transcoding within project timeframe.
• Develop test harnesses and provide robust and extensive testing procedures to ensure equivalence between transcoded code base and legacy ADA algorithms
• Follow Code of Practise (CoP) in developing Matlab algorithms to ensure compatibility with auto-coding tools, rectifying/resolving issues and reframing algorithms as necessary to ensure compatibility with tool chain.
• Build good working relationships with stakeholders, including downstream software team, to enable effective transfer and integration of Matlab algorithm artefacts into larger product
• Support resolution of queries and non-compliances

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.