London, South East, England, United Kingdom Hybrid / WFH Options
Method Resourcing
Senior MachineLearningEngineer - Behavioural Modeling & Threat Detection - £160,000+ - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced MachineLearningEngineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just … build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machinelearning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable … advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machinelearning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries More ❯
MachineLearningEngineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) MachineLearningEngineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in MachineLearning (ML) Engineering and in-depth expertise in operationalising models in … on-site in the London office. Start asap in August/September 2025. Key experience + tasks will include: Implementing Databricks best practices in building and maintaining economic modelling (MachineLearning) pipelines. Working closely with Data Scientists and operationalizing model with auditing enabled, and ensuring the run can be reproduced. Ensuring models are modular, source controlled, and have More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Syntax Consultancy Limited
MachineLearningEngineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) MachineLearningEngineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in MachineLearning (ML) Engineering and in-depth expertise in operationalising models in … on-site in the London office. Start asap in August/September 2025. Key experience + tasks will include: Implementing Databricks best practices in building and maintaining economic modelling (MachineLearning) pipelines. Working closely with Data Scientists and operationalizing model with auditing enabled, and ensuring the run can be reproduced. Ensuring models are modular, source controlled, and have More ❯
london, south east england, united kingdom Hybrid / WFH Options
Syntax Consultancy Limited
MachineLearningEngineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) MachineLearningEngineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in MachineLearning (ML) Engineering and in-depth expertise in operationalising models in … on-site in the London office. Start asap in August/September 2025. Key experience + tasks will include: Implementing Databricks best practices in building and maintaining economic modelling (MachineLearning) pipelines. Working closely with Data Scientists and operationalizing model with auditing enabled, and ensuring the run can be reproduced. Ensuring models are modular, source controlled, and have More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Syntax Consultancy Limited
MachineLearningEngineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) MachineLearningEngineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in MachineLearning (ML) Engineering and in-depth expertise in operationalising models in … on-site in the London office. Start asap in August/September 2025. Key experience + tasks will include: Implementing Databricks best practices in building and maintaining economic modelling (MachineLearning) pipelines. Working closely with Data Scientists and operationalizing model with auditing enabled, and ensuring the run can be reproduced. Ensuring models are modular, source controlled, and have More ❯
to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We're a dedicated team of thoughtful and hard … service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our MachineLearning team. We are searching for a MachineLearningEngineer to join our core AI Team. This is a highly technical role for an outstanding … individual who can take ownership of projects and start new initiatives. As a MachineLearningEngineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching and developing More ❯
One of Europe's most exciting Analytics software companies is looking to hire a MachineLearning Engineer. If your a MachineLearning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing … valuable solutions to some of the world's biggest organisations around Risk Management & Cyber Security. Strong STEM degree, ideally MSc level & above Good knowledge & Experience of MachineLearning Algorithms Strong Software Engineering skills - ideally Python Ability to articulate how you have solved complex problems in the past through technical solutions You will join a hugely talented team of … MachineLearning Engineers, and an employer committed to Employee wellbeing. Regular Mental health, fitness & yoga sessions are a part of the working day as well as regular company away days. Apply now to the MachineLearningEngineer role by clicking on the link and uploading either your CV or an Executive Bio. More ❯
bugs and glitches in game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff MachineLearningEngineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. … The team will design, implement, and optimize advanced algorithms and machinelearning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing: Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game … junior team members, fostering a culture of innovation and continuous learning. Communication: Present findings to stakeholders, effectively communicating complex technical concepts to both technical and non-technical audiences. Continuous Learning: Stay current with the latest research in anomaly detection, machinelearning, and artificial intelligence, disseminating knowledge across the team. Prototyping: Quickly prototype new ideas and technologies to More ❯
and working from home depending on the needs of the project. About the Role You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Government & Public Services arena. Because of the potential to work … details of which are outlined when you click through to apply. 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 Engineerings are responsible for the engineering aspects of our customer delivery projects. As a MachineLearningEngineer, youll be essential to helping us achieve that More ❯
and working from home depending on the needs of the project. About the Role You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Government & Public Services arena. Because of the potential to work … details of which are outlined when you click through to apply. 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 Engineerings are responsible for the engineering aspects of our customer delivery projects. As a MachineLearningEngineer, you'll be essential to helping us achieve More ❯
This innovative team of engineers and scientists are using machinelearning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machinelearning revolution you can be here, leading the charge. You will work across the whole machinelearning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What's special about this group is they do this dozens of times per year working across multiple domains. … You can be working on computer vision for one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machinelearning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machinelearning techniques across multiple domains and the ability to transition More ❯
MachineLearningEngineer 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 across all sides of our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic. As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make automated decisions at … in optimising their presence on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish. Requirements 3+ years' experience as a ML Engineer or Data Scientist 3+ years' experience in Python Experience productionising ML models Experience using tools like Git, Docker, Kubernetes, CircleCI You know the fundamentals of machinelearningMore ❯
driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary We're looking for a MachineLearningEngineer with a passion for developing impactful healthcare solutions using wearable data. You'll play a key role in building real-time, FDA-compliant algorithms that … starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Responsibilities Design and implement machinelearning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer). Develop algorithms that meet clinical-grade performance standards for use in regulated environments. … including performance metrics like sensitivity, specificity, ROC-AUC, and precision-recall. Contribute to technical documentation and regulatory submissions for medical-grade software. Requirements/Qualifications: MS or PhD in MachineLearning, Biomedical Engineering, Computer Science, or a related field. 3-5+ years of experience applying machinelearning to time-series or physiological data. Strong foundation More ❯
global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time MachineLearningEngineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics … does not provide visa sponsorship. 🚀 What You'll Do As a MachineLearningEngineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in MachineLearning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯
global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time MachineLearningEngineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics … does not provide visa sponsorship. 🚀 What You'll Do As a MachineLearningEngineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in MachineLearning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯
of the AI revolution! The Team: Our team plays a pivotal role in enhancing the capabilities and efficiency of our advanced AI systems. We design solutions that enable our machinelearning models to scale seamlessly and perform optimally in real-world applications and large scale research. Collaborating across InstaDeep, we directly impact projects in diverse fields including Life … Sciences, Logistics, Chip Design, and Quantum ML. The Role: We seek a highly skilled MachineLearningEngineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a practical reality. If you thrive on system-level analysis, find joy in squeezing every ounce … of performance from hardware, and love diving deep into algorithm optimisation, this is the position for you. Responsibilities Scaling Expertise: Design and implement strategies to efficiently scale machinelearning models across diverse hardware platforms (GPU/TPU). Performance Optimisation: Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and implementing targeted optimisations. Distributed Systems Architecture: Create More ❯
MachineLearningEngineer - OR 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 … community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things. The Role You will develop the algorithmic and machine-learning systems that power Deliveroo's delivery network. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make … optimisation capabilities. You will report into a ML/OR Manager. This is a hybrid role that will be based in London. Requirements 3+ years' experience as a ML Engineer or Data Scientist You are someone who knows the fundamentals of machinelearning and operational research and when they should be applied through a relevant PhD or More ❯
Role: MachineLearning Operations Engineer Location: Oxfordshire Salary: £65,000 - £75,000 This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented MachineLearning Operations Engineer to … support and enhance their cutting edge machinelearning capabilities. The Role You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machinelearning model training infrastructure. The environment includes both self-managed on premise More ❯
Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
WR Engineering
Role: MachineLearning Operations Engineer Location: Oxfordshire Salary: £65,000 - £75,000 This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented MachineLearning Operations Engineer to … support and enhance their cutting edge machinelearning capabilities. The Role You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machinelearning model training infrastructure. The environment includes both self-managed on premise More ❯
with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. Were looking for a MachineLearningEngineer to join the Generative ML Platform team at Snap Inc! What youll do: Develop ML-tools and ML-products that serve millions of Snapchatters on … the art GenAI pipelines for image and video generation Work closely with other Snap teams to introduce, prototype and launch new products Knowledge, Skills & Abilities: A proven passion for machinelearning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations Ability to effectively collaborate … 3+ years of research or engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning Experience with the major deep learning frameworks: PyTorch or TensorFlow Strong programming skills in Python or C++ Preferred Qualifications: Experience developing real-time software for mobile applications Knowledge More ❯
Lead MachineLearningEngineer - 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 create cutting-edge AI solutions, mentor others, and foster a culture of collaboration and growth. As the sparring partner for your … great fit if you bring some of the following qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in machinelearning projects. At least 2 years in a senior or lead role. Proven expertise with modern LLMs in production. Leadership skills: Proven leadership in agile environments, strong communication … We are a growing team committed to diversity, inclusion, and a positive culture, focusing on solutions, growth, and mutual support. TEAM CULTURE We prioritize daily idea exchange, support, continuous learning, and diversity. Our hybrid work approach offers flexibility, with regular in-person meetings. ABOUT RAMBOLL Ramboll is a global architecture, engineering, and consultancy firm dedicated to sustainable change and More ❯
Research Engineer, MachineLearning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build … beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement … learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. More ❯
Automotive. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machinelearningengineer to join our team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting for multiple positions … closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machinelearning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in … usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Experience applying Machinelearning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience More ❯
Research Engineer, MachineLearning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build … beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement … learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. More ❯
Research Engineer: Graph MachineLearning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are deploying our products in a … of our approach from proactive shopping assistance, to personal teachers to healthcare concierges and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration using Reinforcement Learning Human … explore structured mental models in their heads to solve open-ended problems across different domains. Our research seeks to emulate this process through a novel combination of using reinforcement learning agents to perform exploration through a knowledge graph. Knowledge graphs allow us to represent structured information and the logical relations that govern it, unlocking the ability to build reinforcement More ❯