1,114 AI Developer jobs in the United Kingdom

**The team you'll be working with:**
We are seeking highly skilled and experienced Gen AI specialist to join our dynamic Gen AI COE inside NTT DATA UK&I. The ideal candidate will have a strong background in designing and implementing AI solutions ideally using AWS technology. This role requires a deep understanding of generative AI techniques.
The selected candidate would eventually take on a wider range of responsibilities, within our COE, for example to work on novel projects. The GraphRAG solution is however a good place to start and be a proving ground.
**What you'll be doing:**
**Key Responsibilities**
+ Deploy solution into new customer tenant (based on a re-usable method)
+ Onboard customer documents into the solution, including making sure diagrams have been properly parsed.
+ Configure Langchain for vector processing and graph extraction
+ Create agents to generate new outputs from existing knowledge graph
+ Tune prompts so that customers can find the information they are looking for
+ Collaborate with off-shore teams and share knowledge with other AI developers around the world.
**What experience you'll bring:**
**Required Skills and Qualifications**
+ Technical data engineer with a strong desire and drive to learn new technologies, and to apply these technologies in new spaces
+ Someone with a real technical facility to solve problems without significant oversight or leadership
+ An understanding of AI, and AI ethics
+ An understanding of data safety in use of Large Language Models
+ Knowledge and experience of either AWS or Azure:
+ AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)
+ Azure (azure Open AI service, Cosmos DB)
+ Python
+ Langgraph
+ Neo4j/cypher
+ Other coding languages/frameworks e.g. Java/.Net
+ AI RAG (retrieval augmented generation)
+ Graph RAG
+ Few shot detection
+ Embedding models/LLMs - how they work, how they are trained
**Other Requirements**
+ **SC cleared or 5 years uninterrupted residency in the UK and be prepared to go through SC clearance process**
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
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Overview

Senior AI Developern£80,000 + bonus + benefitsnLondonnJoin a leading international eCommerce organization committed to driving innovation through AI. We are looking for a Senior Frontend Developer to lead the modernization of our core systems, utilizing React and JavaScript to enhance performance and efficiency. Your expertise will be key in transforming our technology stack and implementing AI-powered solutions.nAbout the Role

Play a pivotal role in transforming our technology stack and driving the adoption of AI-powered tools to enhance development workflows. Modernize critical systems and implement intelligent solutions that support business growth and efficiency.nKey Responsibilities

Lead the migration of Legacy systems to a modern tech stack using React, JavaScript, and cloud platforms.nDesign and implement AI-driven solutions to improve code quality, automate tasks, and boost productivity.nCollaborate with IT and product teams to redesign and enhance core business applications.nMentor junior developers, fostering a culture of continuous learning and innovation.nEssential Skills

5+ years of software development experience, including significant work in system modernization.nStrong expertise in React and JavaScript.nFamiliarity with REST APIs and cloud infrastructure.nHands-on experience with AI-based developer tools (eg, GitHub Copilot, ChatGPT, Tabnine).nExcellent leadership, communication, and collaboration skills.nPassion for clean code, software architecture, and continuous improvement.nWhy Join Us

Competitive salary (£80,000+) and benefits package.nOpportunity to shape our technical direction and implement innovative solutions.nCollaborative and supportive team environment.nChance to make a significant impact on a growing business.

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Engineering at hyperexponential

At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions—whether it’s calculating the cost to insure a global superstar’s concert tour or protecting entire states from natural disasters.nWith hx Renew, insurers can rapidly develop and iterate pricing models in Python and React within a modern software environment, free from the burden of legacy tech. What once took months now takes weeks—or even days. This agility has made our product the go-to platform for insurers worldwide.nIn just five years, our winning formula has earned the trust of industry giants like Aviva and Top 5 US insurers, as well as cutting-edge innovators like Convex and Inigo. Our engineering team—made up of some of the brightest minds in the industry—pushes technological boundaries every day through creative innovation and regular hackathons.nYour Mission

We're expanding our Engineering Velocity team with a brand new role focused on AI enablement. Our mission is simple: empower engineers to deliver better, faster, and safer.nOver the past months, we’ve been exploring how AI can improve developer workflows. We’ve integrated tools like Codeium and Windsurf IDE, and we're currently evaluating AI-powered solutions for code reviews. But we know there’s more we can do—and that’s where your expertise and enthusiasm come into play.nWe’re looking for someone excited about applying AI to improve the developer experience—whether through automation, smarter tooling, or rethinking how engineers work. You’ll help us go beyond off-the-shelf tools and lead new initiatives that accelerate how engineers build, ship, and operate software at hx.nKey Responsibilities

Lead AI-driven initiatives:

Identify opportunities to apply AI in meaningful ways that improve how engineers work, automating repetitive tasks, accelerating decision-making, and improving productivity.

Shape AI adoption at hx:

As the person leading this effort, you’ll define the approach to incorporating AI into engineering workflows, helping us discover and implement the best AI tools and techniques that will drive real impact.

Collaborate and share knowledge:

Make AI accessible to teammates by sharing knowledge, fostering a culture of learning, and empowering others to contribute to AI-driven projects. You'll help others grow their skills and contribute to AI initiatives.

Push the boundaries of what's possible:

Always be on the lookout for ways AI can make us faster, more efficient, and more effective. You’ll tackle challenges and find creative solutions that shape the direction of AI within the technology department.

Key Skills and Experience

Proven problem solver:

Proven experience building internal tooling and platforms to support engineering teams

Experience with AI technologies:

Hands-on experience working with LLMs or related AI technologies, with a practical understanding of how to apply them effectively to real-world developer workflows.

Solid technical foundation:

Strong experience in DevOps practices with hands-on knowledge of cloud technologies (AWS), infrastructure as code (Terraform), CI/CD pipelines (GitLab), and containerization (Docker).

Strong Python programming skills:

Strong programming skills in Python, including its ecosystem for AI/ML, with experience using libraries such as PyTorch, Hugging Face Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions.

Product mindset:

Ability to think from the user’s perspective and design solutions that align with developer needs, improving their experience and productivity.

Leadership and ownership:

Experience taking ownership of projects, leading initiatives from inception to delivery, and driving impactful results that align with team and business goals.

Excellent communication and collaboration skills:

Ability to clearly explain complex technical concepts to both technical and non-technical stakeholders, empowering teammates to get involved and contribute to AI-driven initiatives.

Interview Process

Initial chat with our Talent team to kick things offnManager Interview (60 minutes)

Technical Assessment (120 minutes)

Values Interview (60 minutes)

We offer!

Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.

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Key Responsibilities:

• AI Development:  Develop and maintain the FELIX python codebase.
li>Project Coordination:  Collaborate with key stakeholders to ensure alignment with timelines and business goals. li>Technical Direction:  Build and maintain FELIX in line with the approach laid out be the technical lead. li>Operational Excellence:  Ensure optimal performance and stability of the systems developed, adhering to best practices in model governance and lifecycle management. li>Cross-Functional Collaboration:  Liaise with various functions to ensure maximum code reuse and best adherence to best practice.

Key Responsibilities:

• AI Development:  Develop and maintain the FELIX python codebase.
li>Project Coordination:  Collaborate with key stakeholders to ensure alignment with timelines and business goals. li>Technical Direction:  Build and maintain FELIX in line with the approach laid out be the technical lead. li>Operational Excellence:  Ensure optimal performance and stability of the systems developed, adhering to best practices in model governance and lifecycle management. li>Cross-Functional Collaboration:  Liaise with various functions to ensure maximum code reuse and best adherence to best practice.

We're looking for a talented AI Engineer with proven industry experience in building and shipping production-grade AI/ML at scale to help build our next-generation Developer Productivity platform at Citi using bleeding-edge Generative AI.
You'll be joining a small, high-impact teams challenging, changing, modernising and enhancing the experience of our 50,000 engineers globally throughout Citi's SDLC (Software Development Life Cycle).
**Where you'll work**
You'll sit within Development Enablement, part of Citi's CTO organisation, which is a group focused on innovation, developer platforms and internal tools used across the bank, where we experiment and ship fast, like a startup inside a global bank.
**Why you'll love working here:**
+ You'll work in a small, agile team, in an organisation led by technologists, building the best tools for fellow developers.
+ You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world.
+ You get to work in the fun part of the bank, the Chief Technology Office, building cool things.
**By day 45 - learning how to ship AI software at Citi**
Being one of the largest financial institutions in the world, the initial part of your journey will be about learning how to efficiently ship software at Citi and understand the web of stakeholders who will enable you to deliver at your best, including the ones involved in the approvals required to ship.
By the end of this stage, you will have:
+ Started a relationship with the engineering leads within Developer Enablement.
+ Started learning our experiment-driven AI development workflow.
+ Chosen and deployed an Experiment Tracking and a Data Labelling tool.
+ Consolidated existing evaluation scripts into an existing Evaluation CLI and release it.
+ Devised and executed on at least one Quantitative Test Plan for a GenAI solution.
**By 3 months - become a citizen within CTO's AI and represent as an AI expert**
You will be expected to foster cross-team collaboration and help overcome inefficiencies. Within three months, you will already have a consolidated understanding of the roles of engineering leads within Developer Experience, and you will have started working with engineering leads across CTO.
By the end of this stage, you will have:
+ Regular interactions with Engineering Leads across Developer Enablement.
+ Started a relationship with engineering leads in the AI space across CTO.
+ Mastered and applied routinely our experiment-driven AI development workflow.
+ Completed a few AI experiments that delivered business features.
**What we'll provide you**
By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
+ 27 days annual leave (plus bank holidays)
+ A discretional annual performance related bonus
+ Private Medical Care & Life Insurance
+ Employee Assistance Program
+ Pension Plan
+ Paid Parental Leave
+ Special discounts for employees, family, and friends
+ Access to an array of learning and development resources
Visit our Global Benefits page to learn more. ( these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
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+ Identified and disrupted at least one inefficiency in our AI Development Workflow.
+ Expanded our suite of eval metrics and techniques to simplify agentic-AI development.
**By 6 months - presence in CTO's AI and own experiment-driven AI development workflow**
Continuing your journey as a senior engineer, you will have identified and started engaging on at least one opportunity of cross-team collaboration that addresses a developer productivity inefficiency inside CTO or another organisation that we advise. These relationships will have started providing you with enough resourcefulness to start designing AI solutions from scratch aligned with strategic tools.
By the end of this stage, you will have:
+ Regular interactions with Engineering Leads across CTO to unblock shipping to production.
+ Started owning and evolving our experiment-driven AI development workflow.
+ Started owning and evolving our AI evaluation Tooling.
+ Routinely completed AI experiments that delivered business features.
+ Routinely shipped software features to production, end-to-end.
+ Contributed to designing new production-grade AI applications or modules.
**By 12 months - own our team's AI experimentation machine**
At this point, you will have an opinionated view on how to take our experiment-driven AI development workflow to the next level, training other younger (Grads, AVP and VPs) to perform confidently different parts of this workflow.
By the end of this stage, you will have:
+ Regular interactions with Engineering Leads across CTO to unblock shipping to production.
+ Advocacy and dissemination of our experiment-driven AI development workflow.
+ Routinely completed critical path AI experiments that delivered business features.
+ Designed and implemented production-grade features for AI solutions.
+ Proven to mitigate AI production deployment risk for our AI Engineering Team.
+ Helped scoping and planning future AI development work.
+ Further expanded our suite of eval metrics and techniques to simplify agentic-AI development.
**What you will bring**
+ Proficiency in AI Evaluation: regression, classification, information retrieval, power analysis and correlation and statistical testing, and others
+ Strong understanding of AI/ML fundamentals: Deep Learning, LLMs and implications
+ Strong server-side Engineering: Python, REST APIs, asynchronous and functional programming
+ Proficiency with relational and/or NoSQL databases: PostgreSQL, MongoDB.
+ Experience with message queuing systems: Apache Kafka.
+ Deep understanding of containerisation (Docker) and orchestration (Kubernetes).
+ Familiarity with CI/CD tools (e.g., Jenkins, Tekton, ArgoCD, Harness)
**Tools and technologies you might use**
+ Python, FastAPI, Pydantic, Pandas, Scikit-learn, NLTK, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness
+ Mac or PC - it's up to you
+ Access to time-saving AI tools such as GitHub Copilot and Cognition.ai 's Devin
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**Job Family Group:**
Technology
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**Job Family:**
Applications Development
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**Time Type:**
Full time
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Parexel is in the business of improving the world's health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values, **_Patients First, Quality, Respect, Empowerment & Accountability._**
This role will work within our **_Scientific_** **_Data Technology department_** which is an innovative team that will build and deploy leading AI-driven solutions to improve workflows common across both Parexel and the life sciences industry. The team partner and support the business in building best-in-class AI-driven solutions when nothing suitable exists.
This role is to be based in the **_UK_** and can be either **_office based in Sheffield or fully home based in the UK._** The offices are open planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues.
As the **_AI Solution Developer I_** you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel's business. In this role, you will design, develop, and deploy Applications, ML models and data pipelines within the Foundry ecosystem. You will also work collaboratively with data engineers, software developers, product managers, and business stakeholders to develop innovative ML solutions and models from research to POC to production.
**Key Accountabilities;**
**ML and Gen AI Technology in Foundry**
+ Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
+ Design, implement, and document new ML/Gen AI modeling techniques and strategies
+ Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
+ Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
**Applied ML POCs and Experimentation**
+ Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
+ Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
+ Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
**AI-based Production Solutions**
+ Collaborate with Product to define and implement features to satisfy customer requirements within Foundry
+ Design and develop high quality AI-based production pipelines, workflows and applications in Foundry
+ Participate in planning and check-in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective
**AI Expertise, Education, and Advocacy**
+ Act as an AI and Foundry advisor across Parexel
**Software Engineering**
+ Develop front-end software and user experiences using the latest application programming frameworks, libraries and languages with focus on using Palantir's Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.)
**Education:**
+ Educated to Bsc. or Master's level in Engineering or Computer Science with a focus on Machine Learning or other equivalent qualification/experience.
**Skills:**
+ Experience in Palantir Foundry, it's ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
+ Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
+ Proven CS fundamentals including data structures, algorithms, and distributed systems
+ Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
+ Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
+ Knowledge of Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow)
+ Experience with data modeling and pipeline development in Palantir Foundry
+ Experience with frontend development for intuitive user experience
+ Practical understanding of database technologies including relational, non-relational and graph
+ Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor
+ A flexible attitude with respect to work assignments and new learning
+ Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail
+ Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value the importance of teamwork.
**Knowledge and Experience** :
+ Intermediate experience with the following tools: Foundry (Workshop, Pipeline-builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub,
+ Intermediate experience working in applications with RESTful JSON API endpoints
+ Intermediate experience with Azure and Docker
+ Experience producing high quality code in a shared context
+ Up to date with state of the art in Machine Learning (and Gen AI techniques/models)
+ Experience contributing to delivery of value-driven production-quality AI solutions and models.
+ A strong interest and passion for Machine Learning and Generative AI and demonstration of this is essential.
In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and for your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry.
**_Apply today to begin your Parexel_** **_journey!_**
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EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Our client is seeking a highly skilled and visionary Lead AI Engineer to spearhead their advanced AI initiatives. This is a fully remote position, offering the opportunity to work on cutting-edge projects from anywhere. You will be responsible for designing, developing, and deploying sophisticated machine learning and deep learning models that drive innovation across our product portfolio. This role requires a strong theoretical foundation in AI, extensive practical experience in model development and deployment, and exceptional leadership qualities. You will lead a team of talented AI engineers, guiding them through the entire lifecycle of AI product development, from conceptualization to production.

Key responsibilities will include:

• Leading the design, development, and implementation of advanced AI and machine learning solutions.
• Building, training, and optimizing deep learning models for various applications, including natural language processing, computer vision, and predictive analytics.
• Developing and maintaining robust ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Collaborating with product managers and stakeholders to define AI strategy and roadmap.
• Mentoring and guiding a team of AI and ML engineers, fostering a culture of innovation and technical excellence.
• Researching and evaluating emerging AI technologies and techniques to identify new opportunities.
• Ensuring the scalability, performance, and reliability of AI systems in production.
• Developing and implementing best practices for MLOps, including model versioning, monitoring, and continuous integration/deployment.
• Communicating complex technical concepts to both technical and non-technical audiences.
• Contributing to the company's intellectual property through publications and patents.

The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a minimum of 7 years of experience in AI/ML development. Proven experience leading technical teams and delivering complex AI projects from inception to completion is essential. Expertise in popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages (Python) is required. Strong knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent analytical, problem-solving, and communication skills are a must. This is an unparalleled opportunity to shape the future of AI and lead transformative projects in a dynamic, remote-first environment.