Bexhill-on-sea, Sussex, United Kingdom Hybrid / WFH Options
Hastings Direct
and support data-driven innovation. Key Responsibilities Developing, analysing, and overseeing the implementation of advanced statistical and machine learning models into live pricing. Stretching the team's capabilities in ArtificialIntelligence, Machine Learning and use of Cloud technologies. Working cross-functionally with the wider Pricing, Data and Analytics teams to develop the Home data landscape. Engineering powerful new More ❯
We’re hiring fresh graduates to join our Data & AI team, which powers core functions across the organization — from analytics and automation to AI/ML systems and engineering pipelines. As a Graduate Trainee, you will begin by contributing to foundational development work spanning AI/ML, data workflows, automation, and internal tooling — primarily using Python. You will be working … across multiple focus areas within the Data & AI team, including: AI/ML – supporting model development, data preparation, and deployment workflows Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation Automation – building scripts and utilities to streamline and optimize operations Data Engineering/DevOps/MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems Must-Have Skills … of internal tools and automation pipelines Data transformation, processing, and system integration scripts APIs and components that support analytics, reporting, or ML workflows Exposure to real-world projects across AI, automation, engineering, and reporting What You’ll Gain Practical experience across the full spectrum of modern data and AI workflows Growth opportunities into multiple tracks – AI/ML, Analytics, Automation More ❯
We’re hiring fresh graduates to join our Data & AI team, which powers core functions across the organization — from analytics and automation to AI/ML systems and engineering pipelines. As a Graduate Trainee, you will begin by contributing to foundational development work spanning AI/ML, data workflows, automation, and internal tooling — primarily using Python. You will be working … across multiple focus areas within the Data & AI team, including: AI/ML – supporting model development, data preparation, and deployment workflows Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation Automation – building scripts and utilities to streamline and optimize operations Data Engineering/DevOps/MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems Must-Have Skills … of internal tools and automation pipelines Data transformation, processing, and system integration scripts APIs and components that support analytics, reporting, or ML workflows Exposure to real-world projects across AI, automation, engineering, and reporting What You’ll Gain Practical experience across the full spectrum of modern data and AI workflows Growth opportunities into multiple tracks – AI/ML, Analytics, Automation More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Data Engineer - Permanent As a data Engineer, you will shape next-gen data architecture, build smart solutions with Web and Data Science teams, and harness Gen AI to move faster and smarter. You will be experienced in AI and enjoy writing code. Responsibilities Build and maintain scalable distributed systems using Scala and Java Design complex Spark jobs, asynchronous APIs, and … parallel processes Use Gen AI tools to enhance development speed and quality Collaborate in Agile teams to improve their data collection pipelines Apply best practices like TDD, SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models to production Leverage data structures, algorithms, and design patterns … Luigi) Familiarity with cloud platforms (AWS, GCP) and monitoring tools (ELK stack) Proven problem-solving mindset and ability to adapt solutions to complex challenges Hands-on use of Gen AI tools for coding, debugging, or system design Fully Remote Brilliant benefits package Please send me a copy of your CV if you meet all of the requirements More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Data Engineer - Permanent As a data Engineer, you will shape next-gen data architecture, build smart solutions with Web and Data Science teams, and harness Gen AI to move faster and smarter. You will be experienced in AI and enjoy writing code. Responsibilities Build and maintain scalable distributed systems using Scala and Java Design complex Spark jobs, asynchronous APIs, and … parallel processes Use Gen AI tools to enhance development speed and quality Collaborate in Agile teams to improve their data collection pipelines Apply best practices like TDD, SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models to production Leverage data structures, algorithms, and design patterns … Luigi) Familiarity with cloud platforms (AWS, GCP) and monitoring tools (ELK stack) Proven problem-solving mindset and ability to adapt solutions to complex challenges Hands-on use of Gen AI tools for coding, debugging, or system design Fully Remote Brilliant benefits package Please send me a copy of your CV if you meet all of the requirements More ❯
Data Engineer (Databricks) - Leeds (Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Data Engineer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for Data … seeking a Data Engineer with strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools … Pension + Benefits To apply for this position please send your CV to Nathan Warner at Noir Consulting. (Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Data Engineer) NOIRUKTECHREC NOIRUKREC More ❯
are currently looking for a Data Engineer to join our Professional Services division. You will be part of a cross-functional Data Consulting team spanning data engineering, data science, AI, analytics, and visualisation. You will work with clients across multiple sectors, helping them explore next-generation data techniques, AI capabilities, and tools to drive measurable business value from their data … the life of an Aiimi Data Engineer: Collaborating with business subject matter experts to discover valuable insights in structured, semi-structured, and unstructured data sources. Using data engineering and AI techniques to help clients make smarter decisions, reduce service failures, and deliver better customer outcomes. Connecting to and extracting data from source systems, applying business logic and transformations, and enabling … data-driven decision-making. Supporting strategic planning and identifying opportunities to apply AI models or machine learning techniques to enhance business processes. Capturing data requirements from customer and technical teams. Designing and implementing new data collection processes that ensure completeness, quality, and business relevance. Developing innovative ways of working to improve efficiency and scalability. Setting up interfaces to source systems More ❯
What is Human Native? At Human Native, were building an AI data marketplace that ensures creators and rights holders are fairly compensated for their work while providing AI developers with high-quality, responsibly licensed training data. We believe in building AI the right way - ensuring transparency, fairness, and accessibility. This is a hard problem, and we need brilliant minds to … help us solve it. The Opportunity As an ML Engineer, youll help us index, benchmark, and evaluate training datasets at scale. Your expertise with data, AI and ML training methodologies and evaluation techniques will advance the state of the art for developing AI. You will work across: Designing and developing benchmarks that allow our customers to understand their value of … operations, software engineering, and product management, to integrate data evaluation tools and insights into product development. Key Responsibilities Engineering and Development Build scalable, high performance systems to support our AI data marketplace. Optimise data pipelines to improve data discovery and quality evaluation. Maintain cloud based ML infrastructure and ensure system reliability. Collaboration and Product Thinking Work cross functionally to translate More ❯
will solve critical customer problems in a fast-paced environment Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership. Knowledge of building AI native applications Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies. Understands evaluation tools to validate and measure the … accuracy of solutions. High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons . Understanding of the latest tools and technologies that apply AI to real-world applications. Creates robust, scalable, and secure technical designs , effectively implementing them to balance short-term and long-term objectives, ensuring high availability … years of experience developing systems/software for large business environments. 7+ years of experience designing complex distributed systems, management products, or business applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python Experience with at More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
XPERT-CAREER LTD
our dynamic team in London . You will play a critical role in developing and optimizing backend systems, working with modern data technologies, and contributing to high-performance and AI-enabled applications. Key Responsibilities: Develop robust, scalable applications using Python , APIs, and async processing techniques Collaborate with cross-functional teams on system architecture, design, and implementation Work with Databricks or … deployment Implement and maintain containerized solutions using Docker and CI/CD pipelines Apply MLOps practices using tools like MLFlow , Git-based versioning, and environment tracking Build and integrate AI and intelligent automation frameworks Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience: 2+ years of Python development experience with strong knowledge of APIs, data structures, and asynchronous … automation pipelines Familiarity with MLOps tooling such as MLFlow, Git version control, and environment management Desirable Skills & Interests: Experience with frameworks like LangChain , Langflow , or similar tools for building AI agents Understanding of Large Language Models (LLMs) and intelligent automation workflows Experience building high-availability, scalable systems using microservices or event-driven architecture Knowledge of orchestration tools like Apache Airflow More ❯
As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in finding opportunities to innovate and differentiate Graphcores technology. We seek engineers with strong technical … skills and an understanding of AI model implementation, eager to make a tangible impact in this rapidly evolving field. The Team The Applied AI teams role is to be proxies for our customers; we need to understand the latest AI models, applications, and software to ensure that Graphcores technology works seamlessly with the AI ecosystem. We build reference applications, contribute … on our hardware), and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling, and distributed training and inference of AI models for multiple modalities and applications. If you're excited about advancing the next generation of AI models on cutting-edge hardware, wed love to hear from you! Responsibilities and More ❯
opportunities across GB and Europe. This role requires a strategic thinker with deep expertise in financial crime prevention, compliance frameworks, and regulatory requirements. You will leverage advanced analytics and AI technologies to craft high-impact, compliance-driven solutions tailored to the Banking, Capital Markets (BCM), and Insurance sectors. Key Responsibilities: Strategic Development: Develop and execute a go-to-market strategy … large Tier 1 banks, insurance organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory … Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader in financial crime and compliance at industry events, conferences, and client More ❯
opportunities across GB and Europe. This role requires a strategic thinker with deep expertise in financial crime prevention, compliance frameworks, and regulatory requirements. You will leverage advanced analytics and AI technologies to craft high-impact, compliance-driven solutions tailored to the Banking, Capital Markets (BCM), and Insurance sectors. Key Responsibilities: Strategic Development: Develop and execute a go-to-market strategy … large Tier 1 banks, insurance organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory … Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader in financial crime and compliance at industry events, conferences, and client More ❯
1x Backend Python - Mid-level Software Engineer Contilio 3D AI is a fast-growing, AI-first SaaS scaleup based in London, UK. We have built and scaled the world's first 3D AI analytics & insights platform for the largest industry on earth, construction . Our cutting-edge software, for the first time, automates quality verification, manufacturing-style quantity tracking, progress … insights, make smart decisions, and eliminate problems before they happen, saving billions in cost, time, FTE, and CO2 emissions . We are scaling rapidly and are building a global AI category leader , creating significant value for our customers and the global population given 40% of the world's CO2 originates from the $15Tn Construction industry! To fulfil this vision, we … a smart,ambitious andtechnically exceptional " Mid-LevelSoftware Engineer" to our team. In this role, you will be developing and deploying the next version of Contilio's cutting-edge 3D AI platform. Working in an agile manner, you will collaborate closely with the AI, dataops andproduct teams toimplement customer requirements and delight our globalenterprisecustomers. We offer competitive compensation andequity ownership, as More ❯
New Permanent Opportunity for an Enhanced DV Cleared Data Scientist/AI Engineer in Cheltenham. Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we … We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience … successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile More ❯
Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer) Our client … The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools … your CV to Nathan Warner at Noir Consulting. (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data More ❯
teams, often on a global basis, to develop and implement data management frameworks, strategies, and solutions that reduce data risk, drive business value and enhance decision-making capabilities. Our AI & Data team is dedicated to championing the potential and careers of individuals from all walks of life, providing support including flexible working arrangements. The opportunity In this Consulting role, you … with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. • Data Management & Strategy - Supporting our financial services clients manage AI & Data Risk, define AI & Data Strategies, implement Data Product solutions, design Target Operating Models and enable Data Offices to become transformational to their business • Support the build of a Data … in communities like Women in Banking and Finance. Your key responsibilities • Collaborate within client facing delivery teams on complex data transformation programs in Financial Services, covering roles such as AI & data strategy, data risk and control analysis, solution design, AI governance, and end-to-end implementation management. • Assist clients in executing their AI & Data strategy through deployment of modern Data More ❯
do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Design, develop, and implement AI models and algorithms to solve specific problems Be responsible for delivery of outcomes/projects with defined levels of accountability Develop software applications that incorporate AI technologies Work collaboratively with … other team members to meet project deadlines Deploy AI models into production environments Integrate AI solutions with existing systems and applications Discover opportunities for data acquisition, either internally within client organisations or through third-party APIs Work alongside data scientists to develop and maintain productionised code Maintain and update AI systems as new data and requirements emerge Present findings and More ❯
Join to apply for the Engineering Head role at Elixirr Join to apply for the Engineering Head role at Elixirr Get AI-powered advice on this job and more exclusive features. About Elixirr Elixirr International plc is a global consulting firm with a bold ambition: to become the best consulting firm in the world. About Elixirr Elixirr International plc is … South Africa, and a client base spanning industries and geographies, weve welcomed seven boutique firms into the Group. This has broadened our capabilities across creative, digital marketing, data and AI, procurement, transformation, and more. Our vision of becoming a services unicorn is firmly within reach and this is just the beginning. Were looking for exceptional talent to join us on … us and continues to be a hub of innovation and growth. Job Summary We are seeking a visionary Head of Engineering to lead the development of our enterprise-grade AI solutions. This individual will serve as the product leader, driving the technical strategy, architecture, and execution of our AI solutions, which integrate agentic workflows to dynamically populate and manage the More ❯
We believe in a best-of-breed strategy, emphasizing integration and utilization of business data for value creation. You will be a key resource in applying effective integrations, analytics, AI, and Machine Learning to predict optimal outcomes and provide intelligent insights to our customers. VesselMan offers a supportive and engaging work environment, prioritizing continuous learning and growth. This is a … unique opportunity to work closely with experienced developers and architects skilled in backend development utilizing MS Azure, Amazon AWS, modern integrations, and data analytics/AI/ML. Responsibilities include: Utilize data analytics and ML/AI tools to leverage data within the solution. Integrate AI into applications, deploying models into web or mobile apps using APIs or embedded solutions. … Develop server-side applications and integrations using technologies like Node.js, Python, or Java, incorporating analytics, big data, and AI/ML modules for insights and guidance. Create and integrate APIs for communication between front-end and back-end systems. Collaborate with UI/UX designers to ensure technical feasibility and implementation of design concepts. Conduct code reviews, testing, debugging, and More ❯
should participate in all stages of product development - from ideation to execution - and you will be integral to every step of that journey. You will work extensively with Generative AI technologies, such as GPT-4 and Gemini, integrating their capabilities into our systems through advanced prompt engineering and API integration. As the GenAI Senior Full-Stack Software Engineer, you'll … edge GenAI research into scalable, production-grade solutions, bridging the gap between experimentation and enterprise deployment. Our diverse tech stack encompasses Python, Go, TypeScript, React, Kubernetes, MongoDB, and Generative AI integrations, requiring adaptability and a commitment to continuous learning. Responsibilities Design, develop, and test software applications that leverage Large Language Models and AI capabilities Collaborate closely with team members to … is developed and delivered on time and within budget Set standards for excellence: high-quality software and exceptional user experiences Stay current with the latest software development trends and AI/ML technologies Ensure software platforms comply with Citi's security and Software Development Life Cycle processes Work with diverse teams across the organization to drive adoption of everything-as More ❯
Engineers. Translate experimental ML models into scalable, production-ready applications using cutting-edge AWS services. The Role Core Responsibilities: Technical Liaison - Bridge Data Science and DevOps teams, ensuring effective AI/ML solution deployment Hands-On Support - Assist data scientists with DevOps issues, Docker containers, and MLOps tooling Model Deployment - Deploy Hugging Face Transformers and ML models as secure microservices … Create documentation and mentor teams on MLOps best practices Full ML Lifecycle - Manage training, validation, versioning, deployment, monitoring, and governance API Development - Develop secure APIs using Apigee for enterprise AI functionality access Automation - Build CI/CD pipelines using Jenkins and Maven for ML project integration Essential Requirements Minimum Qualifications: Degree in Computer Science, Data Science, Mathematics, Physics, or equivalent … experience End-to-end ML delivery - From experimentation to production deployment Data science fundamentals - Data cleaning, feature engineering, model evaluation Critical Technical Skills: Production ML deployment - Demonstrated experience maintaining AI/ML models in production AWS ML services - SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, Redshift Hugging Face deployment - NLP, vision, and generative models in AWS environments API development - Flask More ❯
and deliver the data capabilities of tomorrow. MAIN PURPOSE OF THE ROLE: We're looking for a Senior Data Scientist with hands-on experience in Machine Learning and Generative AI, and a passion for solving real-world business problems using advanced data techniques This is a fantastic opportunity to join a growing team, work on high-impact projects, and contribute … to innovative AI and data science solutions across a wide range of industries. Role Responsibilities Design and implement data science and GenAI models to solve client challenges Collaborate with client stakeholders to understand business requirements and shape technical approaches Contribute to the delivery of scalable, production-ready solutions alongside data engineers and MLOps teams Apply a range of techniques including … vector databases, prompt engineering, and fine-tuning Participate in client workshops and discovery sessions to gather requirements and present findings Stay up to date with the latest trends in AI and data science, and bring innovative thinking to projects Help foster a collaborative and knowledge-sharing culture across the data science team Represent Dufrain at industry events, conferences, and forums More ❯
Join to apply for the Director of Engineering role at Blink Join to apply for the Director of Engineering role at Blink Get AI-powered advice on this job and more exclusive features. Who We Want Who We Want Are you excited about shaping the future of intelligent, no-code technology? Were a high-growth event-tech startup building an … AI-powered platform to help enterprises and creators design personalized experiences at scale. Were looking for a Director of Engineering to lead platform development and AI integration, and help us build a world-class engineering culture. Reporting Working closely with and reporting to the Head of Technology for Blink. Responsibilities Strategic Leadership: Define and execute engineering initiatives aligned with Blinks … platform evolution and AI-driven roadmap. Drive the integration of large language models (LLMs) and AI into product experiences and platform intelligence. Stay informed on emerging technologies, particularly in no-code, AI/ML, and developer platforms, to ensure Blink remains a market leader. Team Management: Lead and grow a high-performing engineering team across backend, frontend, and AI/ More ❯
and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of … our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders … across the business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role We are looking for a MLOps Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists and product managers to tackle complex More ❯