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.

Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations.

This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST.

What you’ll do

• Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers

• Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows

• Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation

• Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks

• Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance

• Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues

• Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems

• Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support.

What you’ll bring

• Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis

• Proficie ncy in programming languages such as Golang and Python

• Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing

• Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows

• Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms

• Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support

• Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation

• Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management

• Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques

• Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform

Team overview

You’ll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide.

The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work.

Global Streaming Technology

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

The rewards

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

• Sky Q, for the TV you love all in one place

• The magic of Sky Glass at an exclusive rate

• A generous pension package

• Private healthcare

• Discounted mobile and broadband

• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

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

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

Your office space

Osterley

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

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

Leeds

Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts

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.

Yorkshire & Humber / North England Hybrid Full-time

£120,000 £200,000 depending on experience

This is a confidential listing. At interview we’ll share much more including who we work with and what kinds of things we’re building. What we can say is that the work is challenging, the team is exceptional, and the job is the kind you’d be proud to talk about.

About the role

We are a fast growing, highly selective tech-for-good scale-up. We work at the frontier of technology & AI.

We are looking for an exceptional senior-to-principal software engineer to join a tight-knit, elite team. If you want to work on hard problems, build real things, fast, and be surrounded by people who hold themselves to a high standard this might be for you.

You will work in small teams (typically 35 engineers) on technically complex, fast-moving projects. You will have genuine ownership from day one.

Who were looking for

Essential - please do not apply unless you have all of the following:

• A degree in Computer Science, Engineering, Mathematics, or a closely related discipline from a leading university
• Strong professional pedigree previous employers or institutions that are highly regarded in the industry
• A proven record of delivering high-quality engineering work show us what you’ve built
• Production-level proficiency in CPP, JS, TypeScript, Python
• 3+ years post-qualification experience
• Strong fundamentals and engineering best practice
• Ability to work from our office in North England on-site or hybrid (a few days per month minimum)

We are a small, close-knit team with high standards, a direct culture, and a genuine belief that everyone owns the outcome. It is important to us that we work well together and enjoy doing it. We move fast, think carefully, and care about doing things properly not just our own corner of it. The office is modern and well-equipped. We offer generous holiday, flexible hours, and relocation assistance for the right person.

Description
Join us, be part of more.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We’re energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it and mend it.

About your team:

At Centrica Energy, our mission is to move it.

We’re energy movers by nature. We’re a global renewable energy trading company which helps move energy from source to use - powering businesses, homes, and societies as they transition to a new sustainable energy future. If the idea of working to create a sustainable energy future also moves you, we may very well be the right place for you.

The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for:

• Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk
• Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions
• Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors.

As a Senior Quantitative Developer you will become part of an agile team of circa 10 people located across our offices in both London (UK) and Aalborg (Denmark), with a broad remit to support the development, and use of, our pricing and risk management models and systems. As well as consulting on software design, systems architecture and software engineering practices.

This role will be situated in our London or Aalborg office and the successful candidate will be required to:

• Produce high quality increments to the team’s model library - working both individually and collaboratively.
• Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation.
• Provide support to Trading & Origination on model usage and behaviour.
• Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency.

Here’s what we’re looking for:

• Master’s Degree or PhD qualification within science, computing, mathematics or other quantitative subject.
• Solid experience of code development in Python, including:
  • Experience developing in an Agile environment
  • Use of math/stats & testing libraries, as well as modern build tools.
  • Ability to refactor code and work effectively with legacy systems.
• Knowledge of Object Orientation, Software Architecture and Design Patterns.
• Good understanding of software testing practices (unit testing, integration testing, etc.). Knowledge of TDD and BDD is a strong plus.
• Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable.
• Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems.
• Familiarity or high level of interest in Energy / commodity markets.
• Strong Communicator and fluent in English language.
• Strong interpersonal skills.

#LI-CET

Why should you apply?

We’re not a perfect place - but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www.morethanacareer.energy/centricaenergy

If you’re full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

£550/day Inside IR-35

Portsmouth - 3 days per week on site

Initial 4 month contract

We’re looking for a Software Engineer to work within a Space Systems Engineering team, developing custom parallel algorithms and accelerating the processing of large-scale imagery and data on GPU platforms.

Key technical skills:

C++ development and GPU programming frameworks

Parallel programming concepts and GPU architecture

Linux systems engineering

Profiling and debugging tools for GPU code

What you’ll be doing:

Designing and implementing parallel algorithms for GPUs where existing libraries aren’t sufficient

Building GPU-ready code for vectorisation, parallel execution and large-scale data processing

Offloading CPU-heavy imaging, simulation or ML workloads onto multi-GPU Linux systems

Producing benchmarks, validating performance gains and ensuring numerical correctness

Experience with GPU acceleration in gaming or AI development is also relevant.

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

Hybrid - London - 3 days a week

Our client is a FTSE 100 organisation that invests in and scales businesses across a diverse range of industries. They’re looking for a Junior Data Analyst to join their Digital Solutions team. Reporting into the AI/Data Science Specialist, this will be a hands-on, learning-focused role where you’ll be supporting across a portfolio of digital projects spanning AI, IoT, analytics and operational improvement.

You’ll need to be a recent graduate with a degree in a related field like Data Science, Computer Science, Mathematics, Statistics etc. You’ll also need to be skilled in data preparation, exploratory analysis and visualisation. Having experience with Machine Learning is beneficial as you’ll contribute towards experimentation, validation and structured analytical work. You must be an excellent communicator as you’ll work with technical and nontechnical stakeholders across the organisation.

We’re looking to speak with candidates who:

• A recent graduate (or 1-2 years’ experience) in Data Science, Computer Science, Mathematics, Statistics or a related field
• Have hands-on experience with Python or similar data tools
• Understand core machine learning concepts
• Have experience with data visualisation tools
• Are highly organised, detail-oriented and capable of maintaining structured documentation

Lead Data Engineer/Head of Data Permanent On behalf of a fantstic cleint we are resourcing for the following role This is a senior, hands-on technical leadership role reporting directly to the CTO. You'll shape and deliver a modern data and AI platform, lead a small team of data and analytics engineers, and embed machine learning, AI agents, and advanced analytics into real customer workflows. The Role You'll own the end-to-end data and AI capability - from platform architecture through to production ML systems - ensuring data and AI are applied thoughtfully, responsibly, and with clear business impact. What You'll Do Design and evolve a secure, scalable data & AI platform with Snowflake at its core Build production-grade data pipelines, models, and data products for analytics and AI use cases Design, train, and deploy ML models, embeddings, and vector stores to enable AI-driven experiences Lead and mentor a small, high-impact team of data and analytics engineers Partner closely with Product, Engineering, and Infrastructure teams Set standards for data quality, governance, security, and performance Act as a trusted technical advisor to the CTO and senior leadership What We're Looking For Essential Expert-level Snowflake experience (modelling, optimisation, advanced features) Strong Python skills across data engineering, ML, and AI development Proven experience delivering production ML systems Hands-on experience with embeddings, vector databases, and LLM-driven systems Deep understanding of modern data engineering practices (ELT, orchestration, versioning) Nice to Have Background in data science or applied ML Experience building AI agents or intelligent automation Familiarity with cloud-native architectures and MLOps

AI & GenAI Solutions \* Design and delivery of production‑grade GenAI applications \* LLMs: Gemini (Flash), OpenAI, LLaMA \* Retrieval‑Augmented Generation (RAG), OCR‑based document intelligence \* AI‑driven automation for network design audit and compliance \* Full‑Stack Application Development \* Backend: Python, FastAPI, Django REST \* Frontend: Next.js, Angular \* Secure API design, document parsing, PDF obfuscation, data extraction \* Network Automation & Telco Domain Expertise \* RAN design validation and automation \* Network automation using APIs and intent‑based workflows \* Strong understanding of telecom network architecture and operations \* Cloud & Platform Engineering \* Cloud platforms: GCP (primary), AWS, Azure \* Containerized and cloud‑native application design \* CI/CD, Git-based workflows \* DevOps & Automation \* Infrastructure automation and orchestration \* End‑to‑end testing automation \* Performance optimization and operational efficiency improvements. \* Architecture & Technical Leadership \* End‑to‑end ownership from architecture to production \* Stakeholder collaboration with engineering, operations, and business teams \* Delivery of high‑impact solutions with measurable cost and time savings

Start April initially until Dec 2026 Central London Certain Advantage are seeking Engineers skilled in Python, PySpark and Azure infrastructure services to join a platform team supporting a major data and analytics initiative within a globally renowned Trading business in London. You must be willing to work 3 days a week onsite in central London. This Engineer position is critical to enhancing the team’s ability to deliver re-usable, high quality data pipelines, reduce bottlenecks, and accelerate insight availability for business stakeholders. We need Engineers to have a solid architectural foundation to be able to solve problems independently at a fast pace. You’ll need to offer strong effective communication skills to be able to understand requirements and communicate with technical leaders asynchronously across 5 time zones. Your initial work will involve abstracting code from our product teams into a shared, common python library leveraging PySpark/dataframes. You’ll also be building microservices in the form of python-based Azure Functions. After the initial pre-defined work, you’ll serve as an extension of the product teams building microservices and libraries to solve the common needs across the teams. Required skills: Python PySpark SQL Azure infrastructure Understanding of Containers, Microservices, and Functional design patterns Experience with Agile processes Experience with Terraform Experience with Unit Testing Preferably PyTestOptional, but recommended skills: HTML/CSS React Typescript FastAPI framework Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Onsite Requirements: Remote
Start Date: ASAP
Role Duration: 1 year
Clerance Requirements: Active SC clearance
Inside IR35 - umbrella only

Role Description:
We’re looking for a Data Engineer whose main focus is understanding and documenting existing systems, with the goal of supporting decommissioning activities. The role centres on analysing current solutions built using Java, Node JS, and React, and developing a clear, end to end picture of how data flows across the wider programme.
This includes documenting data flows, system dependencies, and underlying data models, ensuring there is a clear record of how data is structured, stored, and used throughout the solution. The role involves investigating how systems are used on a day-to-day basis, clarifying ownership and integration points, and capturing this information in a way that supports risk assessment and decommissioning decisions.

Responsibilities:
Python and PySpark are required as supporting capabilities, used where needed to analyse data pipelines and confirm how data moves and transforms in practice. The role also requires strong experience with testing and data quality management, ensuring that documented data flows and models are accurate and trusted. Experience working in cloud environments such as AWS or Azure is expected, with Databricks considered a nice to have.
Required Skills:

• Java background
• Node JS
• Json
• RDS
• React
• Data Modelling
• Python / Spark
• Cloud experience (AWS / Azure) o AWS Glue o Databricks
• Testing e.g. PyTest
• Data Quality e.g. Great Expectations

Role: Slots Developer

Location: Remote

Our client, a leading and innovative force in the iGaming industry, is seeking a highly skilled and experienced Slot Mathematician to join their dynamic team. This is a fantastic opportunity to play a pivotal role in creating the engaging and entertaining math models that drive world-class slot games.

In this role, you will be the mathematical engine behind our client’s most exciting projects, working to create the best gaming experience for a global player base. You will collaborate with a talented team of developers and designers to push the boundaries of slot game functionality and innovation.

Key Responsibilities:

• Design, develop, and validate sophisticated mathematical models for new and engaging slot games.
• Provide detailed analysis and explanations of your models to game designers, engineers, and other stakeholders.
• Collaborate with simulation developers to test, simulate, and sign off on models to ensure they perform as intended.
• Troubleshoot and provide technical guidance on the implementation of mathematical models with the engineering team.
• Work closely with the Game Producer to explore innovative game features and optimize the player experience.
• Manage multiple projects concurrently in a fast-paced, rapid-development environment.
• Meticulously test mathematical outcomes using Excel and programming to assure the highest quality and compliance standards.

Who You Are (The Must-Haves):

• A minimum of 2 years of demonstrable experience working as a Slot Mathematician or Slot Maths Developer.
• At least 2 years of hands-on development experience in C#.
• A relevant university degree in Mathematics, Statistics, or a closely related discipline.
• A profound and demonstrable understanding of probability theory and its application to gaming.
• A proactive self-starter with the ability to work independently and take ownership of projects.
• Excellent analytical, problem-resolution, and technical decision-making abilities.
• Outstanding communication skills, with experience working as a core member of an internationally based team.
• A genuine passion for technology and a desire to remain at the forefront of the latest industry skills and trends.

Desirable Skills (The Nice-to-Haves):

• Experience with CUDA or OpenCL.
• Database development experience.
• Familiarity with the pixi.js framework.

This role is perfect for a detail-oriented professional who thrives under pressure and understands the importance of accuracy. You will be joining a team of dedicated and hard-working professionals where your contribution will be valued and have a direct impact on the product.

How to Apply:

If you are a talented Slot Developer looking for your next challenge, we would love to hear from you. Click “Apply” below or submit your application, including your CV, to (url removed)

Location: Remote with Adhoc travel to site (London or Birmingham)

Contract Length: 6 Months
Working Pattern: Full Time, via an Umbrella Company

Are you ready to embark on an exciting journey to shape the future of AI? Our client is on the lookout for a talented AI Engineer to engineer enterprise-grade Generative AI agents. If you have a passion for innovation and a knack for problem-solving, this opportunity is for you!

What We’re Looking For:

• Previous experience supporting the creation of Agentic AI Agents
• Expertise in Generative AI and LLM selection.
• Strong background in decision support and conversational AI.
• Familiarity with engineering prompts and agent patterns.
• Knowledge of cloud standards and privacy governance.
• Experience in monitoring, quality evaluation, and bias mitigation.
• A commitment to explainability and auditability.
• Passion for integrating human-in-the-loop controls.

What You’ll Be Doing:
As an AI Engineer, you will play a pivotal role in creating intelligent automation and conversational experiences by leveraging the power of large language models (LLMs) and orchestration frameworks. Your responsibilities will include:

• Designing Architecture: Define and own the architecture for enterprise-grade Generative AI and agent systems, ensuring alignment with cloud and organizational standards.
• Translating Business Needs: Convert business requirements into agent solutions, selecting the right agent patterns with clear success metrics and risk controls.
• Building GenAI Agents: Develop agents that seamlessly integrate LLMs with retrieval, tools, APIs, and structured reasoning for reliable and safe performance.
• Implementing RAG Solutions: Optimize Retrieval-Augmented Generation solutions, ensuring secure and permission-aware access to enterprise knowledge sources.
• Engineering Safety Measures: Create prompts and policies that enforce Responsible AI principles, focusing on bias mitigation, explainability, and human-in-the-loop controls.
• Ensuring Performance: Maintain the performance and resilience of GenAI systems through optimization and robust fallback strategies.
• Embedding Governance: Design with security, privacy, and governance in mind to support compliance and enterprise risk management.
• Integrating Agents: Collaborate with platform teams to build reusable components and deliver scalable, production-ready AI capabilities.
• Troubleshooting and Innovation: Act as a senior subject matter expert to resolve issues, lead investigations, and drive experimentation with emerging models and tools.
• Influencing Stakeholders: Engage with key stakeholders to articulate trade-offs and strategic decisions effectively.

Why Join Us?
This is a fantastic opportunity to work in a dynamic environment where your skills will be valued, and your contributions will make a real impact. You’ll be part of a forward-thinking team that is committed to pushing the boundaries of AI technology!

Ready to Make a Difference?
If you’re excited about this opportunity and believe you have the skills to excel, we want to hear from you! Apply today and take the next step in your career with us. Let’s innovate together!

We can’t wait to meet you!

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Job title: Principal Software Engineer - Autonomy

Location: Fareham, Hampshire

Responsible to: Autonomy & Control Director

Liaison with: All Kraken staff, sub-contractors, customers, and suppliers

Role overview: To lead the software development of a high-level autonomy capability to be deployed to all Kraken autonomous vehicles. This is a diverse R&D-led role covering vessel guidance, mission frameworks and behaviours, obstacle avoidance, and other high-level capabilities including modern AI techniques.

Most development will require strong expertise with C++, Python, ROS/ROS2, DDS, and embedded Linux environments. You will be responsible for designing, implementing, and optimising autonomy algorithms and systems in both experimental and production settings. You should be comfortable handling complex workloads across R&D, prototyping, and mission-critical production deployments.

Primary responsibilities include, but are not limited to:

• Lead the development and implementation of high-level autonomous behaviours for unmanned vehicles.
• Design and optimise algorithms for obstacle avoidance, path planning, and mission-level autonomy.
• Work extensively with ROS2, DDS, and Linux-based systems to develop robust autonomy software.
• Collaborate with cross-functional teams, including perception, navigation, and hardware engineers, to integrate autonomy solutions.
• Develop and maintain high-quality, well-documented code using C++ and Python.
• Conduct rigorous testing and validation of autonomy software in both simulated and real-world environments.
• Provide technical leadership, mentoring, and guidance to junior engineers and researchers.
• Balance R&D experimentation with production-level software deployment and optimisation.

PERSON SPECIFICIATION

Essential skills, knowledge and experience:

• Extensive experience in C++, with a focus on software architecture and algorithms.
• Strong understanding of autonomous system design, including motion planning, state estimation, and behaviour-based control.
• Experience working with Linux, including system-level debugging and performance tuning.
• Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks.
• Experience developing and deploying software in an R&D and production environment.
• Excellent problem-solving skills with the ability to innovate and iterate on autonomy algorithms.
• Strong verbal and written communication skills, capable of conveying complex technical ideas clearly.

Desirable skills, knowledge and experience:

• Proven expertise in ROS or ROS2 and/or DDS based systems, Python.
• Experience with sensor fusion techniques (LIDAR, RADAR, cameras, IMUs).
• Knowledge of deep learning-based perception for autonomous systems.
• Experience with simulation tools such as Gazebo, CARLA, or Unreal Engine.
• Familiarity with real-time and embedded systems.
• Familiarity with cloud-based robotics and containerization (Docker, Kubernetes).
• Familiarity with PX4 and MAVLink based flight control systems.
• Previous work in the defence, aerospace, or maritime autonomy sectors.

Key behaviours that align with our commitment to excellence, collaboration and efficiency within the workplace:

• To be punctual and manage workload effectively to meet deadlines and priorities.
• Clearly convey ideas and information while actively listening to others.
• Work well with colleagues to achieve common goals and support team members as needed.
• Identify issues and develop practical solutions in a timely manner.
• Maintain a high standard of conduct, respecting confidentiality and addressing challenges respectfully.
• Ensure work is accurate, thorough and free from errors through careful review.
• Take ownership of tasks, following through on commitments.
• Maintain professionalism in client interactions.

General accountabilities and responsibilities:

• To use personal judgement and initiative to develop effective and constructive solutions to challenges and obstacles in day-to-day activities and procedures within the specified role
• To maintain personal ability in, and appropriate use of, all relevant IT (Information and Technology) and other systems required to adequately perform the role
• To act ethically, with integrity and in the best interest of the business at all times
• To maintain a professional and supportive relationship with team members and other departments to deliver business objectives or deadlines
• To carry out any other duties as detailed by a member of the senior management team or authorised representative
• To keep good time management to minimise any wasted time and maximise productivity and effectiveness

Health & Safety responsibilities:

• To ensure that the working area is a clean and a safe environment in compliance with the best practice and health and safety policies
• To ensure any equipment used is safe, within electrical test date and all guards and interlocks are working and in place
• To act safely and responsibly in line with company processes and Health and Safety procedures to ensure your safety and the safety of others
• To report any potential Health and safety hazards or violations to your line manager or directly to the QHSE Manager
• To ensure any PPE or work wear required or provided for the job is worn and checked regularly for wear and then reported when replacements required

Are you ready to turn data into action and make a real impact? Thames Water is looking for a skilled and driven Portfolio Revenue & Debt Data Scientist to join our dynamic Credit Risk team. This is a unique opportunity to work at the forefront of credit risk analytics, helping to shape smarter collections strategies, reduce bad debt, and improve customer outcomes. As part of a priority investment area, you’ll play a key role in transforming how we use data—working closely with senior stakeholders, digital teams, and data owners to deliver best-in-class portfolio management. What you will be doing as the Portfolio Revenue & Debt Data Scientist In this pivotal role, you’ll lead deep-dive analysis into customer portfolio trends, build predictive models, and support the transition to our enterprise data lake. Your insights will directly influence operational improvements, policy decisions, and long-term financial resilience. You will also: Develop and maintain SQL-based reporting solutions to drive actionable insights. Collaborate with the Credit Reporting & Insight team to ensure analytics meet business needs. Partner with the Digital Team to align data governance and infrastructure. Work with the Income Leadership Team to shape strategy and support decision-making. Champion a culture of data-driven thinking across the Income function.Key Responsibilities Conduct root cause analysis of debt accumulation trends. Build and refine predictive models for credit risk and debt recovery. Provide insights to support the Bad Debt Transformation programme. Support the migration to a data lake environment, ensuring data integrity and accessibility. Create scalable, efficient SQL code and reporting frameworks. Embed analytics into strategic decision-making across the business.What you should bring to the role: To thrive in this role, you must be able to confidently answer YES to the following: Are you proficient in writing SQL queries to extract, join, and transform large datasets for MI/reporting and predictive modelling? Have you got experience in data cleansing, validation, and building predictive models? Are you proficient in Python for statistical analysis and able to relay insights to non-technical stakeholders?In addition, you will bring: Proven experience in credit risk analytics, debt management, or financial modelling. Experience working in cross-functional teams and translating data into strategy. Familiarity with cloud platforms like Azure Data Lake, AWS, or Google Cloud. A degree (or equivalent experience) in Data Science, Mathematics, Statistics, or similar. A passion for continuous improvement and data-led transformation. Desirable Experience Experience migrating from traditional databases to data lake architecture. Background in Utilities or Financial Services. Exposure to SAP or DM9 environments. Knowledge of machine learning techniques relevant to credit risk.Location: Hybrid - Walnut Court - SN2 8BN. Hours: 36 hours per week, Monday to Friday. Application Requirement All applicants must include a covering letter describing a time when you added specific value to a project through your insight, including: The metrics impacted. The results were delivered.What’s in it for you? Competitive starting salary of £53,910 and up to £65,000 per annum, depending on skills and experience Annual leave: 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays). Performance-related pay plan directly linked to both company and individual performance measures and targets. Generous Pension Scheme through AON. Access to lots of benefits to help you take care of you and your family’s health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance.Find out more about our benefits and perks (Please note different T&Cs apply if on secondment) Who are we? We’re the UK’s largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people, and the planet to thrive. It’s a big job, and we’ve got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come. Learn more about our purpose and values Working at Thames Water Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you’ll enjoy meaningful career opportunities, flexible working arrangements and excellent benefits. If you’re looking for a sustainable and successful career where you can make a daily difference to millions of people’s lives while helping to protect the world of water for future generations, we’ll be here to support you every step of the way. Together, we can build a better future for our customers, our region, and our planet. Real purpose, real support, real opportunities. Come and join the Thames Water family. Why choose us? Learn more. We’re committed to being a great, diverse, and inclusive place to work. We welcome applications from everyone and want to ensure you feel supported throughout the recruitment process. If you need any adjustments, whether that’s extra time, accessible formats, or anything else, just let us know, we’re here to help and support. When a crisis happens, we all rally around to support our customers. As part of Team Thames, you’ll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It’s also a great opportunity to learn more about our business and meet colleagues. Disclaimer: Due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment

Location: Remote with Adhoc travel to site (London or Birmingham) Contract Length: 6 Months Working Pattern: Full Time, via an Umbrella Company Are you ready to embark on an exciting journey to shape the future of AI? Our client is on the lookout for a talented AI Engineer to engineer enterprise-grade Generative AI agents. If you have a passion for innovation and a knack for problem-solving, this opportunity is for you! What We're Looking For: Previous experience supporting the creation of Agentic AI Agents Expertise in Generative AI and LLM selection. Strong background in decision support and conversational AI. Familiarity with engineering prompts and agent patterns. Knowledge of cloud standards and privacy governance. Experience in monitoring, quality evaluation, and bias mitigation. A commitment to explainability and auditability. Passion for integrating human-in-the-loop controls.What You'll Be Doing: As an AI Engineer, you will play a pivotal role in creating intelligent automation and conversational experiences by leveraging the power of large language models (LLMs) and orchestration frameworks. Your responsibilities will include: Designing Architecture: Define and own the architecture for enterprise-grade Generative AI and agent systems, ensuring alignment with cloud and organizational standards. Translating Business Needs: Convert business requirements into agent solutions, selecting the right agent patterns with clear success metrics and risk controls. Building GenAI Agents: Develop agents that seamlessly integrate LLMs with retrieval, tools, APIs, and structured reasoning for reliable and safe performance. Implementing RAG Solutions: Optimize Retrieval-Augmented Generation solutions, ensuring secure and permission-aware access to enterprise knowledge sources. Engineering Safety Measures: Create prompts and policies that enforce Responsible AI principles, focusing on bias mitigation, explainability, and human-in-the-loop controls. Ensuring Performance: Maintain the performance and resilience of GenAI systems through optimization and robust fallback strategies. Embedding Governance: Design with security, privacy, and governance in mind to support compliance and enterprise risk management. Integrating Agents: Collaborate with platform teams to build reusable components and deliver scalable, production-ready AI capabilities. Troubleshooting and Innovation: Act as a senior subject matter expert to resolve issues, lead investigations, and drive experimentation with emerging models and tools. Influencing Stakeholders: Engage with key stakeholders to articulate trade-offs and strategic decisions effectively.Why Join Us? This is a fantastic opportunity to work in a dynamic environment where your skills will be valued, and your contributions will make a real impact. You'll be part of a forward-thinking team that is committed to pushing the boundaries of AI technology! Ready to Make a Difference? If you're excited about this opportunity and believe you have the skills to excel, we want to hear from you! Apply today and take the next step in your career with us. Let's innovate together! We can't wait to meet you! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Job title: Principal Software Engineer - Autonomy

Location: Fareham, Hampshire

Responsible to: Autonomy & Control Director

Liaison with: All Kraken staff, sub-contractors, customers, and suppliers

Role overview: To lead the software development of a high-level autonomy capability to be deployed to all Kraken autonomous vehicles. This is a diverse R&D-led role covering vessel guidance, mission frameworks and behaviours, obstacle avoidance, and other high-level capabilities including modern AI techniques.

Most development will require strong expertise with C++, Python, ROS/ROS2, DDS, and embedded Linux environments. You will be responsible for designing, implementing, and optimising autonomy algorithms and systems in both experimental and production settings. You should be comfortable handling complex workloads across R&D, prototyping, and mission-critical production deployments.

Primary responsibilities include, but are not limited to:

• Lead the development and implementation of high-level autonomous behaviours for unmanned vehicles.
• Design and optimise algorithms for obstacle avoidance, path planning, and mission-level autonomy.
• Work extensively with ROS2, DDS, and Linux-based systems to develop robust autonomy software.
• Collaborate with cross-functional teams, including perception, navigation, and hardware engineers, to integrate autonomy solutions.
• Develop and maintain high-quality, well-documented code using C++ and Python.
• Conduct rigorous testing and validation of autonomy software in both simulated and real-world environments.
• Provide technical leadership, mentoring, and guidance to junior engineers and researchers.
• Balance R&D experimentation with production-level software deployment and optimisation.

PERSON SPECIFICIATION

Essential skills, knowledge and experience:

• Extensive experience in C++, with a focus on software architecture and algorithms.
• Strong understanding of autonomous system design, including motion planning, state estimation, and behaviour-based control.
• Experience working with Linux, including system-level debugging and performance tuning.
• Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks.
• Experience developing and deploying software in an R&D and production environment.
• Excellent problem-solving skills with the ability to innovate and iterate on autonomy algorithms.
• Strong verbal and written communication skills, capable of conveying complex technical ideas clearly.

Desirable skills, knowledge and experience:

• Proven expertise in ROS or ROS2 and/or DDS based systems, Python.
• Experience with sensor fusion techniques (LIDAR, RADAR, cameras, IMUs).
• Knowledge of deep learning-based perception for autonomous systems.
• Experience with simulation tools such as Gazebo, CARLA, or Unreal Engine.
• Familiarity with real-time and embedded systems.
• Familiarity with cloud-based robotics and containerization (Docker, Kubernetes).
• Familiarity with PX4 and MAVLink based flight control systems.
• Previous work in the defence, aerospace, or maritime autonomy sectors.

Key behaviours that align with our commitment to excellence, collaboration and efficiency within the workplace:

• To be punctual and manage workload effectively to meet deadlines and priorities.
• Clearly convey ideas and information while actively listening to others.
• Work well with colleagues to achieve common goals and support team members as needed.
• Identify issues and develop practical solutions in a timely manner.
• Maintain a high standard of conduct, respecting confidentiality and addressing challenges respectfully.
• Ensure work is accurate, thorough and free from errors through careful review.
• Take ownership of tasks, following through on commitments.
• Maintain professionalism in client interactions.

General accountabilities and responsibilities:

• To use personal judgement and initiative to develop effective and constructive solutions to challenges and obstacles in day-to-day activities and procedures within the specified role
• To maintain personal ability in, and appropriate use of, all relevant IT (Information and Technology) and other systems required to adequately perform the role
• To act ethically, with integrity and in the best interest of the business at all times
• To maintain a professional and supportive relationship with team members and other departments to deliver business objectives or deadlines
• To carry out any other duties as detailed by a member of the senior management team or authorised representative
• To keep good time management to minimise any wasted time and maximise productivity and effectiveness

Health & Safety responsibilities:

• To ensure that the working area is a clean and a safe environment in compliance with the best practice and health and safety policies
• To ensure any equipment used is safe, within electrical test date and all guards and interlocks are working and in place
• To act safely and responsibly in line with company processes and Health and Safety procedures to ensure your safety and the safety of others
• To report any potential Health and safety hazards or violations to your line manager or directly to the QHSE Manager
• To ensure any PPE or work wear required or provided for the job is worn and checked regularly for wear and then reported when replacements required

Azure Data Engineer | Outside IR35 | £400 - £450 | 6 months | Hybrid Liverpool You’ll be designing, developing, and managing data pipelines across Azure, primarily using Azure Data Factory to integrate multiple data sources and deliver streamlined workflows into Azure SQL. A strong grasp of Python will be essential as you'll be transforming, cleansing, and validating complex datasets to ensure they’re accurate, efficient, and ready for analytics and product teams to leverage. This position plays a key role in supporting ongoing modernisation efforts by strengthening the way data is collected, processed, and made available across the business. Responsibilities Build, maintain, and improve scalable ETL/ELT pipelines using Azure Data Factory Model, manage, and optimise datasets within Azure SQL Use Python and Pandas for data preparation, transformation, and quality checks Work closely with engineering, product, and analytics teams to understand data requirements and deliver robust solutions Maintain high standards around data integrity, reliability, and performance Contribute to modernising data tools, workflows, and overall data infrastructureWhat We’re Looking For Strong hands-on experience with Azure Data Factory and cloud-based data orchestration Solid Azure SQL knowledge, including schema design and performance tuning Proficiency in Python, with practical experience using Pandas for data manipulation Comfortable delivering in environments where onboarding is minimal and pace is high Background working with product-led or digitally focused teams is beneficial Able to start immediatelyIf this is a role that suits your skillset, can work onsite 2 days per week and immediately available then please apply for the job advert directly or reach out to myself at (url removed). Azure Data Engineer | Outside IR35 | £400 - £450 | 6 months | Hybrid Liverpool

Data & AI Product Lead

London Hybrid Permanent
Up to £110,000

VIQU have partnered with a leading insurance organisation seeking a Data & AI Product Lead to shape and drive their UK&I data and AI product strategy. As a Data & AI Product Lead, you will define the vision, roadmap, and operating model for a growing data product ecosystem, working closely with underwriting, pricing, claims, risk, data science, and engineering teams to deliver scalable, high value data and AI products aligned to commercial outcomes. This Data & AI Product Lead role offers genuine enterprise level influence and strategic ownership across the organisation.

Key Responsibilities:

• Define and drive the data and AI product strategy as a Data & AI Product Lead, aligned to business and data objectives.
• Develop and maintain comprehensive product roadmaps and a target data product catalogue.
• Partner with underwriting, pricing, claims, risk, data science, and technology teams to identify opportunities and prioritise initiatives.
• Own the end to end lifecycle of data and AI products from ideation through to deployment and continuous optimisation.
• Establish and embed a clear data product operating model and governance framework.
• Define KPIs and ROI measures to track performance, adoption, and commercial impact.
• Engage senior stakeholders, translating complex data and AI concepts into clear business value.
• Ensure regulatory compliance and high standards of data quality and integrity.

Key Requirements:

• Proven experience as a Data & AI Product Lead, Senior Data Product Manager, or similar end to end product ownership role.
• Strong insurance domain knowledge across pricing, underwriting, claims, and risk.
• Demonstrable experience defining product strategy, roadmaps, prioritisation frameworks, and value measurement.
• Practical knowledge of cloud data platforms such as Azure and Databricks, with the ability to engage engineering teams credibly.
• Experience establishing governance frameworks for data products, ensuring regulatory compliance and data integrity.
• Strong executive level stakeholder management and communication skills.
• Strategic, structured thinker able to operate in ambiguity and drive clarity at pace.

Data & AI Product Lead

London Hybrid Permanent
Up to £110,000

Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed).
Know someone exceptional for this Data & AI Product Lead position? Refer them and receive up to £1,000 if successful terms apply.
Follow us on LinkedIn IT Recruitment for more exciting opportunities.

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

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

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

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

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

This Python Software Engineer will receive

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

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

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

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

Job Requirements

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

Key responsibilities:

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

Forward Deployed Engineer Generative AI / LLM Deployment
GenAI LangChain RAG AWS Kubernetes Customer-Facing

We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments.

This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact.

Key Responsibilities

• Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning)
• Lead production deployment on AWS, Azure or GCP
• Build scalable backend systems in Python (JavaScript a plus)
• Manage infrastructure using Kubernetes, Docker, Terraform
• Own end-to-end technical delivery across multiple client deployments
• Conduct debugging, optimisation and root cause analysis
• Communicate complex AI concepts to technical and non-technical stakeholders

Requirements

• Strong experience building and deploying LLM / Generative AI solutions
• Hands-on with LangChain, RAG, multi-agent systems
• Cloud ML deployment experience (AWS, Azure or GCP)
• DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps
• Customer-facing technical delivery experience
• Background in Machine Learning, Data Science or AI Engineering

This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments.

Apply now to work at the forefront of enterprise AI deployment and agentic systems.