and AI at Trainline Machinelearning 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: Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers … for a Junior MachineLearning Engineer to join our team help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich datasets with cutting edge algorithms. What unites our team is an expertise in … travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Junior MachineLearning Engineer at Trainline you More ❯
Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … efficiency, synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machinelearning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a MachineLearning Engineer … to join our team and lead the charge in applying cutting-edge machinelearning to cyber threat intelligence. In this highly impactful, hands-on role, you'll design, develop, and deploy scalable machinelearning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our More ❯
london, south east england, united kingdom Hybrid / WFH Options
Unitary
MachineLearning Engineer Description The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge … the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a MachineLearning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machinelearning knowledge will help transform our customers' manual processes … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machinelearning models as they come to market, but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you More ❯
MachineLearning Engineer Description The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge … the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a MachineLearning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machinelearning knowledge will help transform our customers' manual processes … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machinelearning models as they come to market, but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Unitary
MachineLearning Engineer Description The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge … the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a MachineLearning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machinelearning knowledge will help transform our customers' manual processes … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machinelearning models as they come to market, but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you More ❯
MachineLearning Engineer Description The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge … the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a MachineLearning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machinelearning knowledge will help transform our customers' manual processes … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machinelearning models as they come to market, but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you More ❯
Role MachineLearning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented MachineLearning Engineer eager to make an immediate impact on exciting projects? Our … client is seeking an experienced professional for a hybrid position to be based in Central London As a MachineLearning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machinelearning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software … such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. Knowledge of version control systems (e.g., Git) and CI/CD practices for ML workflows. Experience 3+ years of hands-on experience as a MachineLearning Engineer More ❯
Engineer (MachineLearning AI) Join us to advance data science and machine learning. ClearML is a rapidly growing open source MLOps platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their … ML code and automation, ensuring their work is reproducible and scalable. ClearML is trusted by brands such as NVIDIA, NetApp, Samsung, Hyundai, Bosch, Microsoft, Intel, IBM, and Philips. Overview: We are an open source end-to-end MLOPs platform, built by developers for developers. We're looking for a junior MachineLearning Engineer (MachineLearning AI … wants to learn how to create and fine-tune models from large amounts of raw information and optimize them You will work with our team to learn to build ML/DL data pipelines to extract valuable business insights, analyze trends, and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math More ❯
Informatics (REF 2021). Why study AI and MachineLearning at UCL Computer Science UCL is a powerhouse in Artificial Intelligence (AI) and MachineLearning (ML), renowned for shaping some of the field's most important advances and training graduates who go on to lead in the global tech industry. Our interdisciplinary programmes blend theory with … Our programmes Artificial Intelligence for Biomedicine and Healthcare MSc - This one-year, interdisciplinary MSc will equip you with advanced AI skills to revolutionise biomedicine and healthcare. Combining foundations of ML and AI with biomedicine and healthcare, you'll learn how to harness AI to craft innovative solutions. Artificial Intelligence for Sustainable Development MSc - This specialist MSc programme combines the technical … excel in an increasingly data driven world. In collaboration with renowned centres like the Gatsby Computational Neuroscience Unit and Google DeepMind, this programme uniquely blends statistical rigour with advanced ML techniques. Data Science and MachineLearning MSc - Become a changemaker in the world of data science and machinelearning through one of the most established Master More ❯
MachineLearning Engineer £700-750/day overall assignment rate to umbrella Fully remote … month initial A FTSE 100 retail client are on the look for a MachineLearning Engineer to join their data science function to drive cutting-edge ML technology across the business. MachineLearning Engineer, key skills: Significant experience working as a MachineLearning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter … Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machinelearning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of MachineLearning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
CHEP UK Ltd
less environmental impact. .# Job Description # Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machinelearning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment … of data science solutions, optimizing performance through advanced machinelearning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear, actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data … and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building More ❯
the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a MachineLearning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machinelearning knowledge will help transform our customers' manual processes … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machinelearning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you … development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machinelearning community to influence how we implement machinelearning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to More ❯
sustainable and innovative ways we work to bring people together, there's something for everyone to get stuck into. And that's where you come in. Description Job title: MachineLearning Engineering Lead Location: Southampton Your new role Here at Hitachi Rail, we have a fantastic opportunity for a MachineLearning Engineering Lead to join our … productionising algorithms, working with other teams in the larger Perpetuum Onboard team, supporting new product development and delivering insights to customers. This role will involve taking technical leadership of machinelearning activities, in particular owning and driving development of the MachineLearning based elements of condition monitoring systems, such as Hitachi Rail's OLE monitoring system. … specific items in the latest agreed Development Roadmap, with the objective of providing a world-class level of analytics expertise. To be the principal contact and technical lead for MachineLearning in the team, delivering solutions and technical guidance on this for all aspects of condition monitoring, particularly the OLE monitoring. Lead MachineLearning development projects More ❯
looking for MachineLearning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of … this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep … foundational knowledge on ML-based computer vision. In addition you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise. This can range from inputs to product to working on the product itself. Previous contributions to state-of-the-art machineMore ❯
looking for MachineLearning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of … this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep … foundational knowledge on ML-based computer vision. In addition you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise. This can range from inputs to product to working on the product itself. Previous contributions to state-of-the-art machineMore ❯
buckinghamshire, south east england, united kingdom Hybrid / WFH Options
Rightmove
who thrives in environments where reliability, scale, and impact truly matter. At Rightmove, you'll join a close-knit, collaborative AI team that's developing, shipping and operating live ML/AI services that help Rightmove deliver exceptional experiences and value to consumers, our partners and all our stakeholders across the UK property market. You'll be at the heart … deploying, and operating machinelearning systems that leverage Rightmove's data at large scale. You'll have the opportunity to shape best practices, own and grow the ML Ops discipline, and help us move from first launches to robust, sustainable production. In this role, you will work in a cross-functional team to productionise machinelearning … You'll collaborate closely with data scientists, engineers, and product teams to automate workflows, monitor performance, and retrain models as needed. You'll bring a passion for building reliable ML infrastructure, a strong technical foundation in modern machinelearning engineering, and a track record of working in environments where reliability and scale are paramount. Our Data & Analytics team More ❯
Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
Owen Thomas | Pending B Corp™
users find and engage with products through advanced machinelearning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while … for the Engineering Manager, MachineLearning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and … design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay More ❯
thinking team where cutting-edge technology meets genuine purpose. The Role: I’m seeking a Lead MachineLearning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machinelearning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists … direction of machinelearning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship … helping grow a capable ML Engineering team over time. Partner with product, platform, and analytics teams to embed ML into data products and digital services. Stay current with advancements in Generative AI and LLMs, exploring opportunities to apply them within the pet care and nutrition space. What We’re Looking For Strong communicator who can translate technical complexity into business More ❯
thinking team where cutting-edge technology meets genuine purpose. The Role: I'm seeking a Lead MachineLearning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You'll be the technical lead for machinelearning and AI engineering - building production-ready systems, enabling seamless collaboration with data scientists … direction of machinelearning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework - from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship … helping grow a capable ML Engineering team over time. Partner with product, platform, and analytics teams to embed ML into data products and digital services. Stay current with advancements in Generative AI and LLMs, exploring opportunities to apply them within the pet care and nutrition space. What We're Looking For Strong communicator who can translate technical complexity into business More ❯
models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct … successful deployment of machinelearning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machinelearning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects … on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machinelearning and More ❯
Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in MachineLearning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist … proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machinelearning in Defence/Security, public sector, or academia Proficiency in various machinelearning architectures and models Methodical problem-solving skills Effective communication of complex technical More ❯
learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, LLMs and Deep Learning. Our MachineLearning Engineers are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, assisting the data scientists in designing and building models, and … you will work collaboratively with Data Scientists, Software Engineers, Product and Engagement Managers on your designated project. You will not only work on the development and productionisation of sophisticated ML products, but also shape the future of our AI capabilities. You will have the opportunity to mentor junior team members, influence strategic decisions, and directly impact our customers' experiences. If … learning algorithms Support with customer PoVs and onboarding Understand business problems and product requirements and help translate these into technical solutions Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machinelearning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable More ❯
of Livongo, Hinge, Calm, MDLive, and others. What we're looking for We're looking for a MachineLearning/Data Engineer to lead the development of ML applications and data infrastructure that will accelerate our ability to gather actionable, high-impact insights from complex healthcare data. We're looking for someone who is effective at all levels … our future data initiatives. In this role, you'll: Build and own our data infrastructure to ingest, store, and process large volumes of healthcare data Build and deploy robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Collaborate with the rest of the engineering team to integrate ML and AI applications into user-facing production systems … deployed models to ensure they meet business goals and provide high-quality user experiences Collaborate with product, engineering, clinical, and operations teams to translate business needs into data and ML solutions Implement engineering best practices for CI/CD, automated testing, and model versioning What you bring to the team: 5+ years of ML engineering experience in a professional setting More ❯
a leading developer and provider of full-stack photonic quantum computing systems. This company focuses on innovative approaches to quantum computing, high performance, and data centre-standard systems for machinelearning and generative AI. You will have the opportunity to work in multidisciplinary teams of quantum scientists’, engineers, and mathematicians who are developing hardware and software within quantum … classical systems. We're looking for an experience machinelearning engineer, who will thrive in collaborative dynamic environments where learning is continuous and every contribution drives progress towards the next generation of computing. Having knowledge or interest within quantum computing would be desirable. Your Responsibilities: You will research, implement and benchmark new machinelearning algorithms … the user facing software stack by adding and improving new algorithm applications and examples. Technical Expertise: Master's or PhD in a relevant field (physics, computer science...) Expertise in machinelearning, with a strong understanding of flow matching, diffusion and/or GANs Machinelearning orientated programmed skills (Pytorch, Python...) Experience in developing and benchmarking new More ❯
a leading developer and provider of full-stack photonic quantum computing systems. This company focuses on innovative approaches to quantum computing, high performance, and data centre-standard systems for machinelearning and generative AI. You will have the opportunity to work in multidisciplinary teams of quantum scientists’, engineers, and mathematicians who are developing hardware and software within quantum … classical systems. We're looking for an experience machinelearning engineer, who will thrive in collaborative dynamic environments where learning is continuous and every contribution drives progress towards the next generation of computing. Having knowledge or interest within quantum computing would be desirable. Your Responsibilities: You will research, implement and benchmark new machinelearning algorithms … the user facing software stack by adding and improving new algorithm applications and examples. Technical Expertise: Master's or PhD in a relevant field (physics, computer science...) Expertise in machinelearning, with a strong understanding of flow matching, diffusion and/or GANs Machinelearning orientated programmed skills (Pytorch, Python...) Experience in developing and benchmarking new More ❯