1 to 25 of 2,725 Permanent Machine Learning Jobs in the UK

transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We … are seeking a Machine Learning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machine learning and AI to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. Whether you're an early-career researcher or a seasoned expert, you will work with an … and implement advanced machine learning models for RNA biology, systems biology, and structural biology to solve frontier challenges in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University … of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal … Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University … of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal … Optimise and modularise models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritise, and manage own tasks aligned with business objectives. We are also looking More ❯

other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning … to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and help shape the long-term technical strategy for the team Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping Communicate technical … Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders Bonus Points More ❯

Senior Machine Learning Research Engineer Salary: £62,860 - £84,070 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contracts: 1x Permanent, Full Time (35 hours per week) 1x Fixed Term (18 months), Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world … leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role … deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python More ❯

experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities Own the model development and … and investigate new machine learning applications within the company, and improve on pre-existing models. Collaborate closely with product and development teams to define and prepare new ML applications. Analyse performance and continuously improve scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning domains, including massive-scale … of-the-art technologies, including Large Language Models (LLMs), to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology to rapidly determine what works More ❯

and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find … for a Machine Learning Engineering Manager 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 Machine Learning Engineering Manager at Trainline you More ❯

Senior Machine Learning Engineer - Python/TensorFlow/Keras/PyTorch/scikit-learn Wyatt Partners are working with the founders of an innovative Machine Learning startup to hire an experienced Machine Learning Engineer. They see the Senior Machine Learning Engineer quickly developing into the 'Head of Machine Learning' as … problem faced by various industries, offering a strong first-mover advantage with no natural competitors. The current tech stack includes: Python, TensorFlow, Keras, PyTorch, and scikit-learn. The Senior Machine Learning Engineer will be responsible for: Developing cutting-edge algorithms Building data management pipelines to automate updates of core algorithms Productionizing the company's Machine Learning … team members We are seeking an individual with a top-tier academic background in Machine Learning, AI, or Computer Science, with experience in developing, building, and deploying ML & AI applications at scale. The company offers a competitive base salary and an equity package. Apply now for the Senior Machine Learning Engineer role. More ❯

Junior Machine Learning Research Engineer Salary: £40,000-£52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment. This is an exciting opportunity for two Junior Machine Learning Research … of-the-art research and applying emerging AI techniques Desirable: Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine … machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience in AI/ML Experience in contributing to patents, or academic papers related to ML. Rewards and Benefits We will support you to be at your best in work and to live well outside More ❯

Senior Machine Learning Scientist - Recommendations page is loaded Senior Machine Learning Scientist - Recommendations Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 22 Days Ago job requisition id JR4885 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. … Machine Learning Scientist to join our Recommendations team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop's search engine and ranking across the app. Responsibilities: You will: Research, design and deliver ML solutions to … team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS More ❯

a diverse and inclusive environment. What You Will Contribute To Altos As a Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology. We are looking for a hands-on, senior level creative and collaborative person to join our multidisciplinary team of scientists and engineers focused on … originality, rigor, and integrity. Responsibilities - Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large-scale machine learning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machine learning models at scale; Communicate effectively with internal and external collaborators to meet … open-source software development, e.g., demonstrated by high-impact GitHub repository; Track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals or major ML conferences; Experience with one lower level language (not limited to, but such as C++, Rust); Experience with large scale data processing and database tools such as MapReduce, Dask, SQL, Hugging More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

home Travel 0-25 % Role type Profession Research, Applied, & Data Sciences Research Sciences Employment type Full-Time Overview We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on 'fifth paradigm' scenarios. … large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe. The field of machine learning has evolved significantly in recent years, with many of … the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork. We are seeking a highly motivated and experienced Sr RSDE with expertise in machine More ❯

and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find … are looking for a MLOps Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich datasets with cutting edge algorithms to build our next generation platform. What unites … 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 MLOps Engineering Manager at Trainline you will Build a More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to … to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with existing systems and workflows. CI/CD for ML : Design and implement continuous integration and delivery pipelines for efficient model deployment. Model Monitoring : Monitor machine learning models in production, ensuring ongoing performance and reliability. Collaboration : Work with … machine learning. Optimization : Continuously improve machine learning infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data More ❯

Senior Machine Learning Scientist - Search page is loaded Senior Machine Learning Scientist - Search Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 22 Days Ago job requisition id JR4886 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. … Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop's search engine and ranking across the app. Responsibilities: You will: Research, design and deliver ML solutions to … humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS More ❯

by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under … team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. The Role We are looking for a Senior Machine Learning Engineer to join our Detection team. In this role, you will be setting the technical direction that … bridges data science and engineering. You will be responsible for the architecture, scalability, and reliability of the high-performance ML systems that form the core of our fraud detection platform. Beyond just consuming data, you will take a leading role in defining how data is modeled, stored, and served for machine learning purposes, directly influencing the architecture of More ❯

travel suppliers (like major airlines) and many more We are seeking a commercially minded and technically exceptional Director of Machine Learning Science to lead the Revenue Optimization ML team within Private Label Solutions (PLS), Expedia Group's Business-to-business (B2B) division. As a global leader in B2B travel technology, PLS serves thousands of partners across diverse markets … team of Machine Learning Scientists and Machine Learning Engineers fostering personal growth and creating accountability. Develop and execute a comprehensive strategy for enhancing and expanding ML-powered revenue optimization levers across all products and lines of business that aligns with long-term business objectives. Frequently engage with senior leadership to facilitate tactical and strategic changes to … business value, are fully compliant with legal and commercial guardrails and operate efficiently. Collaborate with cross-functional teams to identify high-impact opportunities for revenue optimization using AI and ML technologies. Takes end-to-end ownership by generating innovative ideas, building strong business cases, securing stakeholder alignment, and executing through to successful delivery. Effectively communicate complex technical concepts and project More ❯

and optimising their product offerings. As we refine our existing capabilities and ambitiously expand into new business areas, you'll have a unique opportunity to define the future of ML at PLS. We're looking for a leader who thrives on large-scale challenges, can guide a talented full-stack ML team, coach people managers within their organisation, and is … stack team of Machine Learning Scientists and Machine Learning Engineers fostering personal growth and creating accountability. Develop and execute a comprehensive strategy for applying advanced ML techniques to the recommendations and relevance space that is aligned with business strategy. Collaborate with cross-functional teams to identify high-impact opportunities for enhancing partner recommendations and relevance using … AI & ML technologies. Work with your peers to identify and develop common capabilities that can improve efficiency across domains. Oversee the development, maintenance and operation of scalable ML infrastructure and pipelines. Stay at the forefront of relevant advancements in machine learning and drive innovation by encouraging your team to explore and implementing novel approaches. Effectively communicate complex technical More ❯

inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded in product teams, close to … the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to run experiments based on these algorithms. ML Engineers at Deliveroo report into our Science management … guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for both managers and individual contributors.Our ML Engineers come from many disciplines but have excellence in common. Many are formally trained in Machine Learning, many are not. We are looking for a Machine Learning More ❯

Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and … engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data … science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing More ❯

Computer Vision Engineer/Machine Learning Engineer required to join an exciting defense-focused start-up manufacturer based in Austin, TX. The successful Computer Vision Engineer/Machine Learning Engineer will ideally have a Master's or PhD in a relevant discipline such as Computer Science or a related field. Package $110,000 - $220,000 Equity … Package Health, Dental, Vision Insurance Paid Time Off Computer Vision Engineer/Machine Learning Engineer Responsibilities: Spearhead the creation and refinement of computer vision algorithms for autonomous gun turret systems, with a primary focus on real-time drone detection, tracking, and classification. Develop and implement machine learning models optimized for performance in resource-constrained environments, delivering … hardware architecture. Perform comprehensive testing and validation of algorithms across diverse environmental conditions to ensure their robustness and reliability. Provide mentorship and leadership to junior engineers, fostering expertise in machine learning and computer vision throughout the team. Facilitate the progression from prototype designs to military-grade autonomous turrets, contributing to the development of system variants tailored for different More ❯

your career and the solutions we deliver for our clients. As a Customer AI Developer Specialist, you will: Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate at the intersection of data … science, technology, and business strategy. Key Responsibilities Solve business challenges using advanced ML techniques such as deep learning and quantitative analytics Design and run experiments with generative AI models across text, images, audio, and video Consult on and implement algorithms for content generation Define strategies to embed, scale, and optimize Machine Learning (ML) models in production environments … Stay up-to-date with emerging research and techniques in AI and Machine Learning (ML) Business Impact & Collaboration Understand business requirements and support the development of use cases Run discovery analytics to identify opportunities for innovation Partner with engineers to deploy Machine Learning (ML) algorithms that deliver measurable value Contribute to sales activities by providing data More ❯