Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Vermelo RPO
sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machinelearning methods in our machinelearning pipeline by using robust test … improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior MachineLearning Stakeholders, such as the Head of MachineLearning, Head of Data Science, and Head of … Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
Gerrard White
sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machinelearning methods in our machinelearning pipeline by using robust test … improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior MachineLearning Stakeholders, such as the Head of MachineLearning, Head of Data Science, and Head of … Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
Monzo
customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo, MachineLearning Scientists have ownership across the entire ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our MachineLearning Scientists collaborate in cross-functional squads across … customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you'll be working on As a Senior Lead ML Scientist, you'll be the one of the most senior Individual Contributor (IC) MachineLearning Scientist. This will give you a real opportunity to lead us into an … will help us take our real time systems to the next level. As our most senior technical IC, you'll be providing key technical leadership and shipping highly impactful ML-based solutions. You'll be empowered to work across the collective identifying the most impactful areas and leading solution development. You'll work with our mission-oriented cross functional product More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Vermelo RPO
Halifax, AA, Saga and Lloyds Bank to list a few. As a MachineLearning Engineer, you will help build and maintain the pricing team’s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machinelearning models and processes that underpin our market-leading technical modelling and pricing function. Key … processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machinelearning models and the modelling process, from data ingestion and … results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master’s level in a STEM or DS/ML/AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
Gerrard White
Halifax, AA, Saga and Lloyds Bank to list a few. As a MachineLearning Engineer, you will help build and maintain the pricing team's MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machinelearning models and processes that underpin our market-leading technical modelling and pricing function. Key … processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machinelearning models and the modelling process, from data ingestion and … results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master's level in a STEM or DS/ML/AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
MachineLearning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial … A FTSE 100 retail client are on the look for a Data Scientist/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 Data Scientist/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 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 ❯
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 ❯
Senior Platform Engineer, MachineLearning Cardiff, London or Remote (UK); London We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service … re not about selling products - we want to solve problems and change lives through Monzo ️ London/UK Remote £95,000 - £130,000 + stock options + Benefits About MachineLearning Platform Engineering at Monzo: The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We … our teams to train, evaluate, deploy, and serve MachineLearning models and features at scale. Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions. How we work Locations & Flexible Working: Our More ❯
in healthcare. They’re now looking for a Director of MachineLearning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machinelearning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of MachineLearning in a product-led tech company. Strong expertise in machinelearning, NLP and applied AI. Proven success leading More ❯
london (city of london), south east england, united kingdom
Omnis Partners
in healthcare. They’re now looking for a Director of MachineLearning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machinelearning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of MachineLearning in a product-led tech company. Strong expertise in machinelearning, NLP and applied AI. Proven success leading More ❯
in healthcare. They’re now looking for a Director of MachineLearning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machinelearning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of MachineLearning in a product-led tech company. Strong expertise in machinelearning, NLP and applied AI. Proven success leading More ❯
with product managers, data stakeholders, and engineers across Data and MachineLearning Teams. What Your Week Could Look Like A typical week might include: Integrating cutting-edge ML features into HawkAI analysis products Running ML models on live streams of tracking data Designing algorithms to turn ML outputs into actionable insights Helping to develop and deploy machine … CI/CD and production pipelines to maintain robust software practices Collaborating with product managers and engineers Working with data teams to collect, store, and curate training data Streamlining ML operations and performance pipelines Lead R&D initiatives and keep the team up to date with industry trends Mentoring junior engineers and leading technical discussions Owning solutions end-to-end … Apply Today! This is a fantastic opportunity to join Hawk-Eye Innovations and make a significant impact in the sports technology industry. If you're excited about solving complex ML problems in real-time and seeing your work on the world's biggest sporting stages, we'd love to hear from you More ❯
Postdocs and Research Fellows: Probabilistic machinelearning, Centre for AI Fundamentals, Manchester, UK, DL July 27, 2025 Jul 14, 2025 I am hiring in my machinelearning group in Manchester, UK, DL July 27, 2025 Funded by UKRI Turing AI World-Leading Researcher Fellowship, in the Manchester Centre for AI Fundamentals. We are particularly interested in … developing new machinelearning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machinelearning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and … simulation-based inference. The positions come with excellent opportunities for collaboration with machinelearning researchers in the ELLIS Unit Manchester and the rest of the ELLIS network, and with researchers in other fields for AI for Research. These are fixed-term positions for a year, but there will be opportunities for excellent researchers to continue in my team More ❯
Scientist LondonPrivate Equity£140,000 - £150,000 + benefits Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, MachineLearning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space. They partner with … some leading investment firms in deploying AI and machinelearning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue. In this role you … for customers. Shaping how projects are delivered, driving performance and working closely with C-level execs. Providing technical leadership across the business, with a focus on end-to-end machinelearning solutions. Experience - Lead Data Scientist You will have: An M.Sc. or Ph.D. in: MachineLearning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python More ❯
software, infrastructure, and MLOps systems that leverage machine learning. Working in cross-functional teams with engineers, data scientists, product managers, and designers. Developing scalable, reusable tools that accelerate ML delivery. Providing technical expertise to customers and mentoring junior engineers. Contributing to the scope, design, and technical delivery of complex projects. Embedding best practices for AI systems in production, balancing … and operational requirements. What we're looking for Active SC clearance(minimum 5 years UK residency required). Strong software engineering skills, with proficiency in Python. Experience across the ML lifecycle, including deploying models built in PyTorch, TensorFlow, or Scikit-learn. Hands-on cloud experience with AWS, Azure, or GCP. Knowledge of Docker and Kubernetes, with practical containerisation experience. Understanding … of probability, statistics, and ML techniques. Strong communication skills, able to engage with technical and non-technical stakeholders. Experience mentoring or leading junior engineers is an advantage. Travel & Location Open to applicants from anywhere in the UK. Travel to Poole or Hereford up to 2/3 days per week Majority of work can be done remotely. Why join Salary More ❯
Cheltenham, Gloucestershire, South West, United Kingdom
Anson Mccade
MachineLearning Engineer £60000-90000 GBP Onsite WORKING Location: Gloucester, South West - United Kingdom Type: Permanent MachineLearning Engineer - Defence & Security £60,000 - £90,000 | Gloucester Area | Hybrid (2-3 days on-site as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance. Do you want to take cutting-edge … requirements and translate them into practical solutions. Provide guidance and leadership to junior engineers, championing best practice and technical standards. What We're Looking For Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS … hear more about the Senior MachineLearning Engineer opportunity, get in touch with Connor Smyth at Anson McCade on 020 7780 6706. Reference: AMC/CSM/ML Postcode: GL50 1EP #cosm More ❯
What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You … will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our MachineLearning Engineers are responsible for the engineering aspects of our customer delivery projects. As a MachineLearning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages MachineLearning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to More ❯
Engineering Manager – MachineLearning We are seeking a hands-on Engineering Manager to lead and grow a talented MachineLearning team, driving innovation and delivering real-world impact through cutting-edge AI solutions. This role blends technical leadership with people management – perfect for someone who wants to stay close to the code while also shaping a … Learning engineers and researchers. Stay hands-on: contribute to code, review architecture, and guide technical design decisions. Collaborate with product and data teams to scope, build, and scale ML-driven features and systems. Drive best practices across experimentation, model training, deployment, and monitoring. Champion engineering excellence, ensuring reliability, performance, and security in ML systems. About you: Strong software engineering … background with direct experience in machinelearning applications. Proven track record leading teams – balancing delivery with career growth and mentorship. Proficiency in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms. Comfortable working across the full lifecycle: from research prototypes to production-scale systems. Excellent communication skills and a collaborative mindset. Why apply? This is an More ❯
Engineering Manager – MachineLearning We are seeking a hands-on Engineering Manager to lead and grow a talented MachineLearning team, driving innovation and delivering real-world impact through cutting-edge AI solutions. This role blends technical leadership with people management – perfect for someone who wants to stay close to the code while also shaping a … Learning engineers and researchers. Stay hands-on: contribute to code, review architecture, and guide technical design decisions. Collaborate with product and data teams to scope, build, and scale ML-driven features and systems. Drive best practices across experimentation, model training, deployment, and monitoring. Champion engineering excellence, ensuring reliability, performance, and security in ML systems. About you: Strong software engineering … background with direct experience in machinelearning applications. Proven track record leading teams – balancing delivery with career growth and mentorship. Proficiency in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms. Comfortable working across the full lifecycle: from research prototypes to production-scale systems. Excellent communication skills and a collaborative mindset. Why apply? This is an More ❯
Engineering Manager – MachineLearning We are seeking a hands-on Engineering Manager to lead and grow a talented MachineLearning team, driving innovation and delivering real-world impact through cutting-edge AI solutions. This role blends technical leadership with people management – perfect for someone who wants to stay close to the code while also shaping a … Learning engineers and researchers. Stay hands-on: contribute to code, review architecture, and guide technical design decisions. Collaborate with product and data teams to scope, build, and scale ML-driven features and systems. Drive best practices across experimentation, model training, deployment, and monitoring. Champion engineering excellence, ensuring reliability, performance, and security in ML systems. About you: Strong software engineering … background with direct experience in machinelearning applications. Proven track record leading teams – balancing delivery with career growth and mentorship. Proficiency in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms. Comfortable working across the full lifecycle: from research prototypes to production-scale systems. Excellent communication skills and a collaborative mindset. Why apply? This is an More ❯
Cheltenham, Gloucestershire, South West, United Kingdom Hybrid / WFH Options
Anson Mccade
Senior MachineLearning Engineer £90000-110000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior MachineLearning Engineer - Defence & Security £90,000 - £110,000 | Gloucester Area | Hybrid (2-3 days on-site as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance. Do you want to take … cutting-edge machinelearning out of the lab and into real-world systems that strengthen security? This is an opportunity to join a fast-scaling AI consultancy that is redefining how advanced AI is deployed across Defence. What You'll Do Lead the design and deployment of machinelearning infrastructure and software for Defence programmes. Build … requirements and translate them into practical solutions. Provide guidance and leadership to junior engineers, championing best practice and technical standards. What We're Looking For Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS More ❯
platforms. About the Role Roku is building a world class voice system that is used by millions of Roku users. The Roku Voice team is looking for ambitious experienced machinelearning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machinelearning, automated speech recognition, conversational systems and … make pragmatic technical decisions Qualifications 5+ years hands on experience in building challenging production systems Strong CS fundamentals, with the ability to write algorithms with ease Good understanding of machinelearning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech Experience with advanced machinelearning techniques, including LLM and generative AI … Proven familiarity and experience deploying and maintaining machinelearning models (transformer based models in production is a plus), including identifying the right KPIs and objective functions Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java, Python, C++) Experience building in-production NLU and/or ASR systems Bachelor Degree required. MS in Computer More ❯
Overview Job ID: Amazon Development Center U.S., Inc. Are you a highly skilled and innovative Software Development Engineer with a passion for developing new machinelearning capabilities and driving innovation to build customer-centric solutions in Amazon SageMaker AI? Are you interested to play a key role in developing software applications at AWS? We invite you to join … Pipelines provides a serverless workflow orchestration capability purpose-built for MLOps/LLMOps automation. This capability enables our customers to easily build, execute, and monitor repeatable end-to-end machinelearning workflows through an intuitive API, drag-and-drop UI, and the Python SDK. In this role, you will be responsible for building and maintaining capabilities within our … best-in-class machinelearning offering, as well as scaling those systems to support our customers' workflow orchestration automation needs. Engineers on the Amazon SageMaker Pipelines team are expected to consistently experiment with new technologies and ideas in order to drive innovation and ensure SageMaker remains a best-in-class service. You will be held to the highest More ❯
in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and MachineLearning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at the intersection of empirical finance … driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information and integrate academic … financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯