Birmingham, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Role: MachineLearningEngineer Location: Hybrid (Remote + 1 day/week in Birmingham) Salary: £70,000 - £85,000 About the Company A fast-growing technology company specialising in intelligent shopping solutions for online retailers is seeking a MachineLearningEngineer to develop scalable, high-performance systems. The team includes engineers, marketers, and data … specialists working collaboratively to deliver advanced AI-driven platforms. Key Responsibilities Design and deploy machinelearning models for recommendation, classification, forecasting, and anomaly detection Collaborate with data engineers to prepare structured and unstructured datasets Optimise algorithms for accuracy, efficiency, and cost-effectiveness Build and manage production-ready ML systems with low latency and high reliability Conduct experiments and … Skills Proficient in Go, Python, or R Strong SQL skills and experience with large-scale data warehouses Experience building classification models (binary, multi-class, anomaly detection) Familiarity with unsupervised learning algorithms such as K-Means and DBSCAN Hands-on experience with scikit-learn, TensorFlow, PyTorch, Keras, OpenCV Deep expertise in Google Cloud Platform (GCP), including BigQuery, Vertex AI, and More ❯
in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machinelearning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machinelearning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machinelearning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machinelearning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯
in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machinelearning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machinelearning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machinelearning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machinelearning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯
in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machinelearning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machinelearning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machinelearning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machinelearning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯
oxford district, south east england, united kingdom
Alloyed
in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machinelearning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machinelearning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machinelearning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machinelearning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯
Overview We are looking for exceptional machinelearning engineers to work alongside our quantitative researchers on cutting-edge machinelearning problems. As a member of the Core Technical MachineLearning team, you will be engaged in a mixture of individual and collaborative work to tackle some of the toughest research questions. In this role … quantitative research. Past Projects Implementing ideas from a recently published research paper Writing custom libraries for efficiently training on petabytes of data Reducing model training times by hand optimising machinelearning operations Profiling custom ML architectures to identify performance bottlenecks Evaluating the latest hardware and software in the machinelearning ecosystem More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Are you a Junior MachineLearningEngineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers … data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that … can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machinelearning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them More ❯
Are you a Junior MachineLearningEngineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers … data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that … can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machinelearning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them More ❯
right vacancy comes along. The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 MachineLearning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams. We … review process; a career progression framework; and plenty of opportunities to learn new things. The Role In this role, you'll be designing, building and continuously improving the algorithmic, machinelearning systems and decision-making processes that power forecasting at Deliveroo. Our goal is to provide accurate forecasting models across Deliveroo domains and markets at the appropriate level … The role will involve working with partners in our Finance & Strategy team and require strong collaboration and creative problem-solving skills. You are someone who knows the fundamentals of machinelearning and/or operations research and knows when they should be applied, and ideally have experience with time series analysis or forecasting. You are a keen problem More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
meshX
a complex challenge into a strategic advantage, creating environments where trust is systematic and every data point drives confident decision-making. About you We're looking for a talented MachineLearningEngineer to join our innovative remote team. You'll be instrumental in developing and deploying AI models that leverage our federated data mesh architecture, creating intelligent … enterprises. Your work will directly contribute to our mission of helping organizations reach AI Heaven without going through Data Hell. What you bring to the table Strong experience in MachineLearning model development, deployment, and optimization Proficiency in Python, TensorFlow/PyTorch, and MLOps practices Deep understanding of distributed computing and federated learning approaches Experience building production … skills for working with cross-functional teams Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS/Azure/GCP) Bachelor's or Master's degree in Computer Science, MachineLearning, or related field Highly Desired Skills Experience with federated machinelearning and privacy-preserving ML techniques Knowledge of data mesh principles and domain-oriented data More ❯
MachineLearningEngineer, Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI. Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GenAI Innovation Center to explore developing … GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a MachineLearningEngineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be … teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for the intersection of software development with generative AI and machine learning. You'll also: Solve complex technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative ML solutions to More ❯
Lead MachineLearningEngineer (m/f/d) - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead MachineLearningEngineer, you will step up and take responsibility to create cutting-edge AI solutions that empower our business while … grow according to their needs and abilities. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum 5 years of experience implementing machinelearning projects. At least 2 years in a senior or lead role. Demonstrated expertise integrating modern LLMs into production systems. Leadership skills: Proven leadership in driving technical projects More ❯
MachineLearningEngineer Up to £120,000 London (Fully Onsite) Company: Join a London-based hedge fund, that specialises in global macro trading by developing sophisticated investment strategies centred around inflation dynamics, partnering exclusively with high-net-worth individuals and institutional investors. Responsibilities: Work closely with AI and research teams to design, implement, and maintain machinelearning pipelines for forecasting. Build scalable machinelearning pipelines, primarily focused on time-series forecasting. Collaborate with data scientists and researchers to productionize models. Manage both cloud-based and on-premises infrastructure and setups. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong proficiency in Python and experience with More ❯
MachineLearningEngineer Up to £120,000 London (Fully Onsite) Company: Join a London-based hedge fund, that specialises in global macro trading by developing sophisticated investment strategies centred around inflation dynamics, partnering exclusively with high-net-worth individuals and institutional investors. Responsibilities: Work closely with AI and research teams to design, implement, and maintain machinelearning pipelines for forecasting. Build scalable machinelearning pipelines, primarily focused on time-series forecasting. Collaborate with data scientists and researchers to productionize models. Manage both cloud-based and on-premises infrastructure and setups. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong proficiency in Python and experience with More ❯
MachineLearningEngineer Up to £120,000 London (Fully Onsite) Company: Join a London-based hedge fund, that specialises in global macro trading by developing sophisticated investment strategies centred around inflation dynamics, partnering exclusively with high-net-worth individuals and institutional investors. Responsibilities: Work closely with AI and research teams to design, implement, and maintain machinelearning pipelines for forecasting. Build scalable machinelearning pipelines, primarily focused on time-series forecasting. Collaborate with data scientists and researchers to productionize models. Manage both cloud-based and on-premises infrastructure and setups. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong proficiency in Python and experience with More ❯
london (city of london), south east england, united kingdom
Harnham
MachineLearningEngineer Up to £120,000 London (Fully Onsite) Company: Join a London-based hedge fund, that specialises in global macro trading by developing sophisticated investment strategies centred around inflation dynamics, partnering exclusively with high-net-worth individuals and institutional investors. Responsibilities: Work closely with AI and research teams to design, implement, and maintain machinelearning pipelines for forecasting. Build scalable machinelearning pipelines, primarily focused on time-series forecasting. Collaborate with data scientists and researchers to productionize models. Manage both cloud-based and on-premises infrastructure and setups. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong proficiency in Python and experience with More ❯
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
london (city of london), south east england, united kingdom
Solvo.ai
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
ad experiences. We're a fast-growing, founder-led start-up, passionate about making digital ads work better for everyone. Now, we're looking for our first ever Applied MachineLearningEngineer to help us build intelligent systems that power the future of digital advertising. What will you be doing as an Applied MachineLearningEngineer? Build applied ML systems that make our product smarter and more defensible Develop contextual categorisation of web content (e.g. automatically recognising industry categories) Prototype algorithms that can improve advertising outcomes, such as smarter bidding or optimisation logic Work closely with product and commercial teams to package outputs into demos and case studies for clients Collaborate with engineers … adapt general models to our specific domain Who are we looking for? We're looking for someone who is curious, hands-on and eager to shape the future of MachineLearning at Picnic. You'll be motivated by solving real world problems with cutting edge techniques and excited about working in a start-up where you'll have More ❯
Cheltenham, Gloucestershire, United Kingdom Hybrid / WFH Options
Anson Mccade
Senior MachineLearningEngineer £90000-110000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior MachineLearningEngineer - 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 click apply for More ❯
manufacturing. With a global presence and a growing UK footprint, this company is renowned for pushing boundaries and delivering innovation across high-impact sectors. Your new role As a MachineLearningEngineer, you'll be instrumental in designing and validating novel ML models to optimise manufacturing processes and material compositions. You'll collaborate with cross-functional teams … What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills * Practical experience with machinelearning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world … visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving mindset and self-motivation Desirable Skills: * Master's degree in machinelearning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure More ❯
below. With a global presence and a growing UK footprint, this company is renowned for pushing boundaries and delivering innovation across high-impact sectors. Your new role As a MachineLearningEngineer, you'll be instrumental in designing and validating novel ML models to optimise manufacturing processes and material compositions. You'll collaborate with cross-functional teams … What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills * Practical experience with machinelearning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world … visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving mindset and self-motivation Desirable Skills: * Master's degree in machinelearning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure More ❯