287 AI Engineering jobs in the United Kingdom

Description

Engineering Manager

Purpose of the role

To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.

Accountabilities

• Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
• Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
• Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
• Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
• Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development
• Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.

Vice President Expectations

• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

Job Title: AI Engineering Manager

Location: Manchester, UK

Rate/Salary: (phone number removed) - (phone number removed) GBP Yearly

Job Type: Permanent

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)>

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)>

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

Location: London (hybrid working 3 office days per week)

Employment Type: Permanent, full time

Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance

We’re Supercharged – And This Is Just the Beginning.

The AA is entering a bold new era with AI at the wheel. We’re building a dedicated AI capability, and we’re looking for passionate pioneers to shape what comes next.

We’ve recently replatformed onto a modern data stack, unlocking access to one of the UK’s richest datasets - from detailed vehicle fault histories to real-time connected car telemetry. Now, we’re turning that data into intelligent systems that keep Britain moving.

As Head of AI Engineering , you’ll lead a team tackling real-world challenges with direct impact. Think predictive models that anticipate breakdowns before they happen, intelligent routing to optimise thousands of roadside patrols, and agentic AI that transforms customer service.

This is your chance to be part of something new. Something exciting. Something that matters. Ready to join the AA+AI journey?

#LI-Hybrid

Be at the Forefront of AI Innovation at the AA!

We’re building something new - and we want you to help lead it.

As we launch our brand-new AI function, we’re looking for a Head of AI Engineering  to develop and deliver the future of intelligent systems at the AA. This is a rare opportunity to join at the ground level and define how AI transforms the way we serve our members and support our frontline teams.

If you're a visionary technical leader with a passion for building high-performing teams and delivering real-world impact through AI, this is your moment.

• Lead & Inspire : Build and mentor a diverse team of AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
• Build the Future : Design, develop, and deploy scalable AI/ML solutions that solve complex problems and deliver tangible value.
• Shape Strategy : Set the technical vision, engineering standards & patterns, and stay ahead of the curve on AI advancements.
• Collaborate Across the Business : Collaborate closely with the Head of AI architecture, as well as the product, design, and business teams, to develop and launch AI-powered products and services.
• Champion Responsible AI : Embed ethical, secure, and privacy-first practices into everything we build.

• Proficient expertise within software or machine learning engineering, with experience deploying production-grade systems.
• Proven track record in delivering GenAI applications using LLMs and orchestration frameworks.
• Strong Python skills and a solid grasp of modern backend and cloud-native architectures.
• Deep understanding of machine learning, statistics, and data-driven decision-making.
• Experience leading engineering teams and working with external partners or vendors.
• A commitment to responsible AI, including fairness, transparency, and security.

We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:

• 25 days annual leave plus bank holidays + holiday buying scheme
• Worksave pension scheme with up to 7% employer contribution
• Free AA breakdown membership from Day 1 plus 50% discount for family and friends
• Discounts on AA products including car and home insurance
• Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
• Company funded life assurance
• Diverse learning and development opportunities to support you to progress in your career
• Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

#LI-HH

Berlin | Vollzeit | Hybrides Arbeiten möglich

Wir suchen Dich – für den nächsten Schritt in der Welt der KI-gestützten Bildverarbeitung!

Du brennst für Machine Learning und Deep Learning? Dein Herz schlägt für innovative Anwendungen in Computer Vision und Bildanalyse? Dann komm in ein Team, das sich der Weiterentwicklung intelligenter Bildbearbeitungslösungen verschrieben hat!

Übernimm eine zentrale Rolle in unserem Innovationsteam und entwickle KI-gestützte Teilprozesse für Bilderkennung, Retusche und Bildoperationen weiter.

Konzipiere und implementiere Machine-Learning- und Deep-Learning-Modelle – insbesondere CNNs – mit Fokus auf Stabilität, Performance und Kundennutzen.

Nutze umfangreiche Datensätze aus bearbeiteten und unbearbeiteten Bildpaaren als Grundlage für Training und Optimierung deiner Modelle.

Bringe deine Ideen ein, teste neue Ansätze und entwickle Lösungen, die die Qualität und Effizienz unserer Services auf ein neues Level heben.

Fundierte Erfahrung in Machine Learning und Deep Learning – idealerweise mit Schwerpunkt auf Convolutional Neural Networks (CNNs).

Kenntnisse in Computer Vision und Bildanalyse-Techniken (z. B. Filterung, Segmentierung, Merkmalsextraktion) sind ein starkes Plus.

Souveräner Umgang mit Frameworks und Libraries wie TensorFlow, PyTorch, Keras oder OpenCV.

Spaß an praxisnaher Entwicklung und dem kreativen Einsatz großer Bilddatenbestände.

Du sprichst fließend Deutsch oder Englisch.

Ein abwechslungsreiches Umfeld mit echten Gestaltungsmöglichkeiten und viel Raum für neue Ideen.

Flexible Arbeitszeiten, die Möglichkeit auf Homeoffice und ein Standort mitten in Berlin mit exzellenter Verkehrsanbindung – Jobticket-Zuschuss inklusive.

Moderne Tools, hochwertige Ausstattung und ein großartiges, kollegiales Team.

Kostenlose Snacks, Obst, Kaffee und regelmäßige Teamevents gehören für uns genauso dazu wie gezielte Unterstützung bei Seminaren und Fortbildungen.

Wir legen Wert auf eine offene, vertrauensvolle Arbeitsatmosphäre – niemand schaut dir über die Schulter, das Ergebnis zählt!

At Fuse, we're building a fully integrated energy company, from developing solar, wind, and hydrogen to power trading & distributed energy installations. We sell directly to energy consumers, cutting out the middleman to reduce costs and pass on savings to customers.

But we’re not stopping there.
We’re also building the Energy Network: a decentralized network of smart devices where users get rewarded in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. The energy network helps the grid achieve energy stability, a crucial requirement for growth of AI data centers and energy intensive industries. 

We’ve raised $90M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and strategic angels like Nico Rosberg,  co-founder of Solana, and GPs behind Meta, Revolut, Spotify, Uber, and more.

As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation. 

This role is both strategic and hands-on. You’ll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams.

• Own the AI engineering roadmap and lead the development of AI-first features
• Productionize ML models, ensuring scalability, performance, and observability
• Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)
• Build systems that integrate AI into key parts of our stack, such as:
• Forecasting customer demand and renewable generation
• Dynamic pricing and energy trading algorithms
• Intelligent alerts and personalized customer features
• Work closely with product and engineering leadership to identify high-impact AI opportunities

• Build and lead a high-performing team of AI engineers
  

Requirements

• Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams
• Deep experience deploying ML models into production environments
• Proficiency in designing scalable data pipelines and real-time inference systems
• Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)
• Strong cross-functional collaboration skills, particularly with data science and product teams
• Clear communication and an ability to prioritize for both experimentation and reliability
  
  

• Familiarity with optimization, time series modeling, or forecasting
• Experience with large language models (LLMs), RAG, or generative AI in production
• Background in MLOps or AI infrastructure at scale

Benefits

• Competitive salary and a stock options sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs!
• Paid annual leave
• Breakfast and dinner for office based employees

We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms.

We welcome application from individual with experience in: 

• Deep learning
• Medical imaging computing (preferably neuroimaging)
• Computationally efficient deep learning
• Deep learning model generalisation techniques.
• Translating deep learning models to the clinic

The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers designing and translating technology into the clinical. This role will be supported by the Quality Management Systems team at London Institute for Health Care Engineering who will collaborate closely with the group to ensure internal and regulatory requirements are met for the developed quality management system.

We are looking for someone with a passion for translating deep learning models into the clinical as part of a team.  This role is focused on developing computationally efficient deep learning models to perform neuroimaging segmentation tasks to help inform treatment decisions within a busy neurosurgical centre.

In this role the successful candidate will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed tomography (CT). In this role the successful candidate will write and seek to publish the developed state-of-the-art algorithms in high quality medical image computing journals and conferences. The successful candidate will work with a three-person team of software engineers to integrated algorithms into the Epilepsy Navigation (EpiNav™) software platform for stereotactic neurosurgery planning. The successful candidate will help to support the team to formally document algorithms within a quality management system.

EpiNav™ provides state-of-the-art computer-assisted support for the planning of stereotactic neurosurgery procedures. It has been in daily clinical use at the National Hospital for Neurology and Neurosurgery for over 7 years aiding neurologist and neurosurgeons in the surgical treatment of over 150 patients with medically refractory epilepsy and brain tumour biopsy. This software enables clinicians to use complex multi-modal imaging to inform surgical decisions. Based on the early success of EpiNav™ to help improve patient care we are refining and streamlining the software so that it is suitable for use outside of a research setting.  The team is multidisciplinary consisting of experts in medical image computing, medical regulation, neuroimaging and neurosurgery.

This is a full time post (35 Hours per week), and you will be offered a fixed term contract until 31/7/2028

Devonshire Hayes have partnered with a fantastic organisation to help them secure a dynamic and hands-on Engineering Manager across Data & AI. 

You will have experience -

- Leading, managing, building and scaling data teams in a SaaS, RegTech or technology driven environment.

- Hands-on expertise in modern data engineering practices, cloud data platform and full data lifecycle.

- Strong programming skills would be ideal for this position, languages such as Python, Java or Scala with Data pipeline frameworks and cloud infrastructure (AWS or Azure).

- A proven track record of delivering innovative, data driven products from concept to production, ideally in a regulated industry. 

- Deep understanding of data governance, security, privacy standards especially within a B2B or regulated context.

Working arrangement: 4 days in the office / 1 day from home .

Devonshire Hayes have partnered with a fantastic organisation to help them secure a dynamic and hands-on Engineering Manager across Data & AI. 

You will have experience -

- Leading, managing, building and scaling data teams in a SaaS, RegTech or technology driven environment.

- Hands-on expertise in modern data engineering practices, cloud data platform and full data lifecycle.

- Strong programming skills would be ideal for this position, languages such as Python, Java or Scala with Data pipeline frameworks and cloud infrastructure (AWS or Azure).

- A proven track record of delivering innovative, data driven products from concept to production, ideally in a regulated industry. 

- Deep understanding of data governance, security, privacy standards especially within a B2B or regulated context.

Working arrangement: 4 days in the office / 1 day from home .

WHJS1_UKTJ

Data Science Lead - Product

75,000
Hybrid - Central London (2-3 days onsite: Tues, Wed, Thurs)
Permanent | Full-time

Mentmore have been exclusively engaged by one of the world's leading Law firms to build out their Data Science capability. My client is looking for someone to sit within the Data Product area and lead the Data Science capability for the Product organisation. They're investing heavily in their data capability and need a Lead Data Scientist to drive innovation, shape future data products, and lead high-impact projects across the business.

What You'll Do

• Lead the development of innovative, enterprise-grade data solutions and advanced analytics capabilities, working on high-impact initiatives including AI, automation, and new data products.
• Lead the design and development of analytics solutions, ML prototypes, and intelligent automation tools.
• Collaborate across Product, Platform, and Engineering teams to ensure your solutions are scalable and robust.
• Take ownership of solution design, prototype development, strategic experimentation and integrating solutions into broader product and platform architecture
• Contribute to the firm's AI strategy and roadmap

• Build robust, interpretable models for forecasting, classification, clustering, and optimisation.

• Act as a change agent - helping business users understand the why , not just the what .
• Mentor and support other data scientists, nurturing a culture of experimentation and excellence.

What You Bring

• A strong data science background with experience in fast-paced, commercial environments.
• Strong background in Python , SQL , and Power BI .
• Experience designing and delivering end-to-end analytics solutions .
• Comfortable engaging with senior stakeholders and translating business goals into data strategy.
• A collaborative, people-first approach - you bring others with you on the journey.
• Bonus: experience leading small teams or mentoring junior talent.

Why This Role Rocks

• Be part of a Product-led Innovation team where experimentation is encouraged and supported.
• Shape the data strategy and deliver solutions that will have immediate and visible business impact.
• Work cross-functionally with Product, Engineering, and Legal Innovation teams.
• Be seen. Be heard. Have real influence.