Job title:AI Design Analyst (AI Foundry)Location- YBS Leeds and Bradford (3 days week onsite)Role descriptionWe are looking for an experienced AI Design Analyst (AI Foundry) with Function Data & AI 10+ years of experience to take end-to-end ownership.Key responsibilities: (Up to 10, Avoid repetition) Assess and shape AI and Copilot Use Cases aligned to strategic business objectives, shaping them into well defined proposals with clear value hypotheses and measurable success criteria. Engage with business teams to conduct deep analysis of business problems, workflows, processes and decision points to determine where AI can improve outcomes, efficiency or customer experience. Design AI enabled workflows, prompt patterns, user interactions and human in the loop models that maximise safety, transparency and user trust. Assess solution feasibility by evaluating data readiness, technical constraints, ethical considerations, compliance requirements and operational impacts. Map end to end processes, decision points, data dependencies and required human oversight. Assess feasibility, data readiness, ethical considerations and AI specific risks. Design AI enabled workflows, prompts and user experiences for Copilot scenarios. Support experimentation, prototyping and MVP definition with delivery teams. Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all designs Support experimentation and prototyping by defining MVP scope, evaluation criteria, testing parameters and adoption-readiness indicators. Engage with colleagues across the business to capture user perspectives, refine user needs, and ensure solutions align to real operational challenges and behaviours. Ensure responsible AI principles are embedded from design, including explainability, traceability, fairness, appropriate safeguards and risk informed checks. Provide structured analysis to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums. Collaborate with teams to ensure designs are implementable, sustainable and aligned to enterprise architecture. Maintain a library of design artefacts, patterns and re usable assets to support repeatability and uplift design maturity across the AI Foundry. Managing escalations supporting the wider Data & AI Leadership team.Key skills/knowledge/experience: (Up to 10, Avoid repetition) Translate Divisional priorities into plans and deliverables to deliver overall Group strategic priorities Build the capability & capacity of functional resources to drive sustained commercial success Interpret & communicate the priorities for the Function, motivating and developing a high performing team Own functional priorities, applying specialist expertise to put the customer at the heart of everything and drive a profitable business Initiate and develop critical external and internal relationships which create value, collaborating to deliver commercial and customer priorities. Role model YBS Values, champion diversity and challenge behavior contrary to the Values Identify, define & oversee management of risks associated with delivery across YBS Uphold corporate legal & regulatory responsibilities Implement and manage transformation activity & harness innovation to create a high performing & sustainable businessPerson specificationFunctional/Technical (Role Specific)Essential Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field Proven experience working in digital, data or AI programmes in complex or regulated environments. Skilled at mapping processes, decision flows and user journeys to identify where AI, automation or Copilot can add value. Understanding of core AI concepts including LLMs, prompt engineering, automation, decision support and responsible AI. Experience assessing data quality, readiness, lineage and feasibility for AI enabled solutions. Ability to design end to end AI workflows including prompts, orchestration, guardrails and human in the loop models. Skilled in user research, facilitation, co design and requirements gathering workshops. Working knowledge of Copilot and Power Platform as well as Service Design/UX. Working knowledge of Microsoft Azure AI Fundamentals Excellent stakeholder management and communication skills, including senior level engagement. Commercial awareness and a value driven mindset. Familiarity with responsible AI and risk aware delivery practices. Familiarity with AI ethics, fairness, transparency and accountability principles Ability to translate complex technical and regulatory concepts into practical guidance Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise. Ability to be flexible and adaptable with the pace of technology and AI change.Sector (desirable) Understanding of financial services industry, markets and competitors Understanding of how financial services organisations operate and the associated regulatory environment, or other regulated industries. Awareness of the Mutual Sector and the needs and interests of Members.Commercial Ability to work with autonomy and make operational decisions Experience of delivering organisational change. Understanding of related functions and/or services outside of the role's direct remit. Experience of managing a set of internal and external stakeholder relationships.Interpersonal Good interpersonal skills and ability to build and maintain strong working relationships Ability to work effectively in diverse teams. A problem-solving approach with curiosity and proactivity to engage and understand both the strategic business goals and our customer's needs Ability to identify areas of improvement and create innovative approaches to delivering better quality service. Experience working in cross-functional teams and agile environments Ability to identify, nurture and realize the potential in others Strong communication, engagement and influencing skills Ability to effectively represent YBS through building collaborative relationships.

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.

£Up to £100,000 GBP
Transport Allowance
Onsite WORKING
Location: London; Manchester; Bristol, Manchester, North West - United Kingdom Type: Permanent

The Role - Data Architect (DV Cleared)
Join a consultancy recognised as a UK Great Place to Work year after year - a distinction that reflects its commitment to inclusion, technical excellence, and delivering transformative outcomes across complex, high-impact programmes.

Our client is a globally respected digital, data and technology consultancy, combining strategy, innovation, and advanced engineering to solve some of the most challenging business problems. With over 4,000 experts across sectors including health, government, defence, financial services, and transport, the client delivers end-to-end data and AI transformations at scale.

As a Data Architect, you will define and drive the blueprint for complex data platforms, helping clients translate strategic business needs into scalable, resilient, and secure solutions. You will work across cloud and multi-platform architectures, ensuring data governance, security, observability, and cost efficiency are embedded into every design.

The Data Architect role is based in a hybrid model, with a minimum of two days per week in the office or on client site, aligned to programme requirements.

Key Responsibilities - Data Architect
As a Data Architect, you will:

• Define end-to-end data architecture for complex programmes, including ingestion, orchestration, governance, security, cost-optimisation, and observability
• Architect and implement multi-cloud, data lake, and data warehouse platforms
• Design scalable data pipelines, integration workflows, and analytics solutions
• Apply ML/AI frameworks, semantic models, and BI/visualisation tools to solve client challenges
• Operate as a strategic and technical leader across client engagements, guiding engineering teams and shaping delivery
• Translate business requirements into technical solutions that are secure, resilient, and high-performing
• Collaborate with cross-disciplinary teams, mentoring junior colleagues and championing best practice
• Contribute to business growth through bid support, opportunity identification, and thought leadership
• Establish architectural vision and ensure adherence to delivery methodologies across projects

The Data Architect will operate at the intersection of strategy, technology, and client delivery, ensuring that data solutions are both innovative and operationally robust.

Key Requirements

• You must hold Active DV Clearance (UK Developed Vetting)
• Proven experience as a Data Architect leading complex data and AI transformations
• Hands-on experience designing scalable, multi-cloud data platforms
• Strong understanding of data architecture methodologies, governance, and security best practices
• Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent
• Experience with programming/scripting, data integration, ETL pipelines, and orchestration
• Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling
• Strong client-facing skills with the ability to translate business needs into technical solutions
• Leadership experience mentoring teams, promoting best practice, and driving delivery excellence
• Analytical thinking and problem-solving skills in complex, multi-stakeholder environments

Even if you don’t meet every requirement, applications are encouraged - the client hires across multiple levels within the Data Architect capability.

You Will Gain Exposure With

• Large-scale, multi-cloud data and AI transformation programmes
• Diverse projects across public and private sector clients
• Cross-disciplinary collaboration with strategists, engineers, designers, and technologists
• Architecting resilient, secure, and scalable platforms using the latest tools and technologies
• Structured learning budgets, certifications, and continuous professional development
• A collaborative, inclusive, and supportive technical community
• A clearly defined technical career track for ambitious Data Architects

Why Join?

• Join a consultancy consistently recognised as a top employer in the UK
• Work as a Data Architect shaping strategic data platforms and AI solutions
• Hybrid working model with flexibility aligned to client needs
• Access to private healthcare, generous pension, and performance bonus
• Share ownership opportunities
• Strong commitment to inclusion, equality, and diverse career progression
• Operate at the intersection of technical authority, client impact, and strategic leadership

This Data Architect opportunity offers the chance to influence large-scale data and AI transformations while developing deep technical expertise within a consultancy that combines engineering rigour with purpose-led, high-impact work.

Interested? Apply Now!
Or reach out directly to Aaron O’Neill | LinkedIn

Reference: AON/AMC/PGDataArchitect

#aaon

Job Title: AI Technical Lead
Location: Leeds / Hybrid, 2x days per week
Salary: £80,000-£100,000 + benefits

Why Apply?

This is an opportunity to step into a pivotal Technical Lead role for a forward-thinking, technology consultancy delivering cutting-edge AI solutions. You’ll shape architecture, engineering standards, and delivery outcomes across high-impact projects while working with modern AI/ML tooling, cloud technologies, and scalable engineering practices.

Technical Lead - AI Responsibilities

• Lead AI-focused architecture, design, and engineering delivery across client engagements.
• Oversee end-to-end implementation of AI/ML solutions, from concept through to production.
• Act as the senior engineering authority, ensuring high-quality outputs across wider teams.
• Establish best-practice engineering ecosystems, including CI/CD pipelines, automation, developer tooling and QA methodologies.
• Maintain expertise across modern tech stacks, cloud platforms and industry trends, including LLMs and classic ML approaches.
• Collaborate with cross-functional teams to translate technical requirements into actionable engineering plans.
• Build strong relationships with stakeholders, providing guidance and thought leadership throughout delivery.

Technical Lead - AI Requirements

• Strong commercial experience with AI and ML tools, frameworks, and delivery methods.
• Confident acting as the ‘first engineer on the ground’ to drive direction and standards.
• Hands-on proficiency with cloud platforms and modern engineering patterns.
• Full-stack technical capability across front-end and back-end technologies (e.g., React, Vue, Flutter, C#, Java, Python, Node, Go).
• Broad exposure to CI/CD tooling, automation technologies, and test engineering.
• Strong understanding of agile principles with experience embedding best practice across teams.
• Excellent communication, emotional intelligence, and stakeholder engagement skills.
• Analytical mindset with strong attention to detail and comfort with complexity and evolving AI landscapes.

What’s in it for me?

• Competitive salary and comprehensive healthcare.
• Hybrid/remote working options for improved work-life balance.
• Ongoing professional development, including AI/ML upskilling and access to technical communities.
• Opportunity to work with modern technologies and shape high-value digital solutions.
• Exposure to a broad portfolio of impactful projects across multiple industries.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

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

Senior Mapping Engineer (Large-Scale HD Mapping) - First Key Hire

Circa £80k+, London based

Want to work for an advanced start up building real-world autonomous systems? We’re looking for a highly skilled Senior Mapping Engineer to become the first dedicated mapping lead. This is a high-ownership role where you’ll take charge of the high-accuracy, large-scale mapping capability, set the technical roadmap, and grow and mentor a mapping team as deployments scale.

You’ll maintain and evolve an existing mapping codebase, enhancing accuracy, stability, and scalability across challenging industrial and autonomous environments. Working closely with perception, localization, and navigation, you’ll ensure themaps are drift-free, up-to-date, and deeply integrated into the autonomy stack-from raw sensor data to validated, deployed map products.

What you’ll do
* Own and advance scalable LiDAR- and vision-based mapping pipelines.
* Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models.
* Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs.
* Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation.
* Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance.
* Define KPIs and validation frameworks for map accuracy, completeness, and consistency.
* Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems.
* Set best practices and technical standards to support future team growth.

Experience required
* MSc/PhD in Robotics, Computer Vision, Computer Science, or related field.
* 4-5+ years hands-on mapping experience in autonomous systems or robotics.
* Deep expertise in LiDAR/point-cloud processing (PCL, Open3D, custom pipelines).
* Strong background in vision-based mapping / visual SLAM and multi-sensor fusion.
* Proficiency in C++ with strong experience in ROS2.
* Solid grounding in estimation, optimization, geometry, kinematics, and TF2.

Why join
You’ll own a mission-critical autonomy capability, shape the map product and technical direction, work on live deployments, and step into a clear path to build and lead your own mapping team.

We are seeking a highly skilledSenior Data Engineerto join our systems engineering team. In this role, you will be at the forefront of innovation, designing and maintaining the robust data architectures that power mission-critical AI and NLP initiatives.

Since we operate in a highly regulated and secure environment, you will focus heavily onon-premise infrastructure, ensuring our Generative AI capabilities are powerful, private, and resilient.

Key Responsibilities

• Architect & Build:Design, develop, and optimize scalable data pipelines (ETL/ELT) withinair-gapped or on-premisedata centers.
• AI Integration:Engineer data structures specifically forNatural Language Processing (NLP)andLarge Language Models (LLMs), including local vector databases and private model hosting.
• Infrastructure Management:Manage and scale on-premise big data clusters, ensuring high availability without reliance on public cloud providers.
• Data Governance:Maintain rigorous data quality and security standardscrucial for sensitive engineeringwhile managing complex datasets from disparate sources.
• Collaboration:Work alongside Data Scientists to transition GenAI prototypes into production-ready, locally-hosted solutions.

Technical Requirements

Languages

Expert-levelPythonand advancedSQL.

Data Engineering

Experience withETL/ELTand orchestration tools likeApache AirfloworNiFi.

On-Prem Tech

Proficiency withHadoop/HDFS,Spark, and containerization viaDocker/Kubernetes (K3s/OpenShift).

AI/ML

Practical experience withNLP(HuggingFace) andGenAIframeworks (LangChain) tailored for local execution.

Databases

Experience withPostgreSQLand on-premVector DBs(e.g., Milvus, Qdrant, or pgvector).

Security

Experience working withinLinux-basedsecure environments and air-gapped networking.

Essential Qualifications

• Education:A degree in Computer Science, Data Engineering, Mathematics, or a related technical field.
• Security Clearance:Must be eligible forhigh-level security clearance(SC or DV level).
• Technical Rigor:A “security-first” mindset with the ability to troubleshoot complex hardware/software interactions on-site.

£150,000 GBP

• performance bonus + internal fund investment
  Onsite WORKING
  Location: Central London, Greater London - United Kingdom Type: Permanent

My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan.

Description

– Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets.

– Required: experience training ML models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences.

– Positives but not requirement: PhD.

Reference: AMC/AHU/NW/SPH001

#alhu

Job Description: HPC Expert ( Must have SC Security clearance)

Pay: £450-500 per day PAYE 600-700 Umbrella

Location: Nottingham /Derby

Start date: ASAP

Role Overview

This role provides high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows.

Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations based on real workloads

Key Responsibilities

The ideal candidate will collaborate with the customer to assess existing HPC infrastructure and workloads through various customer workshops and interviews, to identify:

1. HPC Environment Assessment & Optimization

• Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases.
• Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options.

1. HPC Containerization Strategy

• Produce a strategy for MPI-optimized container images using tools such as Apptainer/Singularity (SIF), OpenMPI, Podman, and Buildah.
• As part of the report’s findings outline repeatable, secure build pipelines for HPC workloads.
• Identify in the report opportunities to align container platforms with HPC orchestration requirements (batch, interactive, scientific workflows).

1. Technical Workshops, Stakeholder Engagement

• Lead technical discussions, workshops, and training sessions to upskill engineering and research teams on containerization and HPC best practices.
• Produce concise written reports outlining the recommendations and findings, use cases, future strategy, HPC market view along with, next steps, and architectural patterns.

HPC Tools, Runtimes & Ecosystem Integration

• Have a good understanding of Slurm scheduling, MPI job patterns, JupyterHub/JupyterLab for data-science workflows, GPU scheduling tools such as Run:AI, and SDLC practices tailored to research/HPC environments.

Essential Skills & Experience

• Proven background in high-performance computing, including hands-on use of Beowulf-style cluster environments.
• Strong practical knowledge of Slurm job scheduling and MPI job optimization.
• Demonstrated experience with MPI-aware container technologies (Apptainer/SIF, OpenMPI, Podman, Buildah).
• Ability to run structured interviews, technical workshops, and cross-team engineering sessions.
• Experience supporting typical HPC, ML and scientific workloads.
• SC Clearance and UK-only nationality is frequently required for HPC consulting roles within defense/aerospace environments.

Desirable Experience

• Knowledge of CFD software (e.g., OpenFOAM).
• Familiarity with Kubernetes or Singularity as an HPC runtime, GPU slicing, and image lifecycle governance.

Experience contributing written outputs such as market assessments of HPC container technologies.

Call Steve Hill on 01462 670666

IND/LET

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

We’re hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments.

You’ll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture.

This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows.

You’ll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products.

What You’ll Be Doing

• Design and optimise scalable RAG pipelines and vector search systems
• Orchestrate multi-model AI services with a focus on latency, resilience and performance
• Productionise GenAI workflows and ensure they operate reliably under real usage
• Build and run AI services across AWS and Databricks
• Develop ingestion, embedding and retrieval pipelines
• Deploy containerised workloads via Kubernetes and Helm
• Implement Infrastructure-as-Code using Terraform
• Introduce end-to-end monitoring, tracing and alerting for AI workloads
• Improve inference and retrieval performance while reducing operational cost
• Establish fault-tolerant, scalable infrastructure patterns
• Embed security, evaluation and governance into the AI lifecycle
• Build CI/CD pipelines and automation to support continuous model deployment
• Create reusable platform components to accelerate future AI initiatives

Strong experience in:

• Cloud infrastructure engineering (AWS-focused environments)
• Kubernetes, containerisation, and distributed systems
• Terraform / Infrastructure-as-Code
• CI/CD, automation, and platform reliability
• Running production workloads with high availability requirements

Plus, experience with one or more of the following:

• MLOps or ML platform engineering
• RAG architectures, embeddings, or vector search
• Model serving, observability or performance optimisation
• Data / AI workflow orchestration in Databricks or similar ecosystems

Why Join?

• Work on real-world AI systems operating at scale
• Own platform design decisions and influence long-term architecture
• Blend modern DevOps practices with cutting-edge Generative AI use cases
• Be part of a growing, innovation-driven engineering environment
• Opportunity to define how AI is operationalised across multiple products

If you’re excited by building the infrastructure that makes AI usable, scalable and reliable in production, we’d love to hear from you.

49914MS

INDLON

Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.

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.

Senior Agentic & Generative AI Consultant
London (Hybrid)
£120,000 £150,000 + Benefits

We are hiring a Senior Agentic & Generative AI Consultant to lead enterprise AI transformation programmes across complex, large-scale organisations.

This is a high-impact consulting role combining AI strategy, solution architecture and hands-on delivery across Generative AI, Large Language Models (LLMs), Agentic AI and Retrieval-Augmented Generation (RAG).

Key Responsibilities:

• Lead AI strategy and executive advisory engagements
• Architect enterprise-grade Generative AI and Agentic AI solutions
• Design multi-agent systems, orchestration frameworks and RAG pipelines
• Own end-to-end solution architecture from discovery to implementation
• Shape AI-led deal pursuits, presales and business cases
• Define AI operating models, governance and responsible AI frameworks
• Integrate AI solutions with ERP, CRM and enterprise platforms

Required Experience:

• Strong consulting background in AI / digital transformation
• Deep hands-on experience with LLMs, Generative AI and RAG architectures
• Experience with vector databases, embeddings and orchestration frameworks
• Enterprise solution architecture and systems integration
• Executive stakeholder engagement and deal leadership

Experience across cloud AI platforms (Azure AI, AWS, GCP) is highly desirable.

This role suits a Principal AI Consultant, AI Architect, AI Director or AI Practice Lead looking to shape enterprise AI strategy while remaining technically hands-on.

Apply now to lead cutting-edge Agentic AI and Generative AI transformation programmes.