to manage the operational lifecycle of machinelearning models, ensuring they are built, maintained, and optimised for peak performance. You will focus on deploying, scaling, and monitoring ML models to guarantee their seamless and reliable functionality in real-world production environments. In this role, you will collaborate closely with Data Scientists, Data Engineers, Software Developers, IT operations staff … Join us in driving innovation and making a significant impact in the field of data science as we transform data into actionable insights. The Day Job Developing and Maintaining ML Platforms : You will be responsible for developing and maintaining platforms and systems that automate the end-to-end machinelearning pipeline, which encompasses building, training, testing, deploying, monitoring … to a senior MLOps engineer position or potentially transition into a technical architect or leadership role, taking on greater responsibilities and influencing the technical direction of projects. Designing Robust ML Systems : Be motivated to design and implement scalable, efficient, and robust machinelearning systems that can effectively handle increasing data volumes and complexity. Collaborative Solution Development : Seek to More ❯
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 Depops search engine and ranking across the app. Responsibilities You will: Research, design and deliver ML solutions to take … 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 … ago Graduate Recruiter - Systematic Trading Technology & MachineLearning Marketing Data Scientist Digital Business London Western Europe Practice Head - Data Science (MachineLearning/Artificial Intelligence (ML/AI) London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago Quantitative Researcher with MachineLearning experience, Systematic Equities Greater London, England, United More ❯
Wandsworth, Greater London, UK Hybrid / WFH Options
Treecode
Join to apply for the MachineLearning Engineer role at Treecode 1 week ago Be among the first 25 applicants Join to apply for the MachineLearning Engineer role at Treecode Get AI-powered advice on this job and more exclusive features. At Wayve we're committed to creating a diverse, fair and respectful culture that … England, United Kingdom 17 hours ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 6 days ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 month … Learning Software Engineer, Research London, England, United Kingdom 2 months ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 months ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago City Of London, England, United Kingdom 6 days ago London, England, United Kingdom 1 month ago Were unlocking community knowledge More ❯
can flourish and achieve their highest potential . Our Data Analytics business continues to grow and we are now looking for an experienced and technical MachineLearning (ML) Operations Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similarrole … where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machinelearning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. MachineLearning Operations Engineer Senior Associate London Remote Full Time Permanent Ref:002981 Please … can flourish and achieve their highest potential . Our Data Analytics business continues to grow and we are now looking for an experienced and technical MachineLearning (ML) Operations Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similarrole More ❯
NLP/LLM Scientist - Applied AI ML Lead - MachineLearning Centre of Excellence The MachineLearning Center of Excellence invites the successful candidate to apply sophisticated machinelearning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel … in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machinelearning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with … techniques in disciplines such as Deep Learning and Reinforcement Learning For more information about the MLCOE, please visit To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes More ❯
Join to apply for the MachineLearning Engineer role at Proximie 2 weeks ago Be among the first 25 applicants Join to apply for the MachineLearning Engineer role at Proximie Get AI-powered advice on this job and more exclusive features. Five billion people in the world do not have access to safe and affordable … England, United Kingdom 2 weeks ago London, England, United Kingdom 4 days ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks … England, United Kingdom 4 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of More ❯
Join to apply for the MachineLearning Engineer role at G-Research Join to apply for the MachineLearning Engineer role at G-Research Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London … 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 Who are we looking for? Candidates will be comfortable working both independently … science competitions, such as Kaggle Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you dont need to have all of the above Excellent ML reasoning and communication skills are crucial: off-the-shelf methods dont always work on More ❯
analyze continuous physiological signals from wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready ML solutions to market The successful candidates starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the … 35+ years of experience applying machinelearning to time-series or physiological data Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection) Proficient in Python and ML frameworks such as PyTorch or TensorFlow Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC … or ISO 13485 Experience with MLOps practices and model versioning in compliant environments Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration) Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX) Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR) Familiarity with GMLP (Good MachineLearningMore ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
NLP PEOPLE
Senior MachineLearning 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 MachineLearning 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 machinelearning 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 ❯
s commercial goals by harnessing artificial intelligence and machinelearning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, MachineLearning Centre of Excellence, you will have the opportunity to apply sophisticated machinelearning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into … production. If you have a strong passion for machinelearning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.Job ResponsibilitiesResearch and explore More ❯
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 machinelearning, 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 MachineLearning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machinelearning 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 machinelearning 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 ❯
please speak to your recruiter about the options for this particular role. Grade: GG10-GG11 Referral Bonus: 5,000 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced MachineLearning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on prototype development and be responsible for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation … in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring that solutions are both innovative and effective. Youll work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI More ❯
other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Senior MachineLearning 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 machinelearning … 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 ❯
other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Senior MachineLearning 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 machinelearning … 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 ❯
advice on this job and more exclusive features. Direct message the job poster from Synechron Synechron are seeking a skilled MachineLearning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machinelearning solutions for large-scale … data processing and predictive analytics. Responsibilities Develop and implement machinelearning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate … Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala, or Java for ML development. Familiarity with data preprocessing techniques and feature engineering. Knowledge of model evaluation metrics and techniques. Experience with deploying ML models in production environments. Understanding of distributed computing concepts and More ❯
to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software, and Product teams to … Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Ability to move quickly in a dynamic environment. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable Experience … in one or more of: {distributed training of large-scale ML models, building production systems with large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities}. Experience writing C Triton/CUDA kernels for performance optimisation of ML models. Have contributed to open-source projects More ❯
MachineLearning Engineer - Health Tech Start Up MachineLearning Engineer - Health Tech Start Up This range is provided by Oho Group Ltd. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range Direct message the job poster from Oho Group Ltd MachineLearning Engineer - Health Tech Start Up We are seeking a talented and experienced MachineLearning Engineer to join a a rapidly expanding health-tech start-up, who are revolutionary within their field right now. As a MachineLearning Engineer, you will play a critical role in architecting, building, testing, and delivering a new and improved running … United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 5 days ago Graduate Software Engineer ML Data Platform London, England, United Kingdom 3 weeks ago London, England, United Kingdom 18 hours ago London, England, United Kingdom 4 days ago London, England, United Kingdom 6 days ago More ❯
to expand the understanding and impact of machinelearning and AI throughout Trainline. We are looking for a MachineLearning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by … 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 MachineLearning Engineer at Trainline you will... … stakeholders to propose innovative data products that leverage Trainlines extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to More ❯
to expand the understanding and impact of machinelearning and AI throughout Trainline. We are looking for a MachineLearning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by … 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 MachineLearning Engineer at Trainline you will … to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to More ❯
and AI at Trainline Machinelearning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find … for a MachineLearning 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 Trainlines rich datasets with cutting edge algorithms. What unites our team is an expertise in the … 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 MachineLearning Engineering Manager at Trainline you More ❯
and AI at Trainline Machinelearning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find … for a MachineLearning 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 MachineLearning Engineering Manager at Trainline you More ❯
prospects, finding creative ways to use machinelearning to solve problems, scoping projects, and overseeing the delivery of these engagements. To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you … business needs and deliver innovative solutions using AI & Cloud. What You'll Do Translating Requirements: Interpret vague requirements and develop models to solve real-world problems. Data Science: Conduct ML experiments using programming languages with machinelearning libraries. GenAI: Leverage generative AI to develop innovative solutions. Optimisation: Optimise machinelearning solutions for performance and scalability. Custom … Code: Implement tailored machinelearning code to meet specific needs. Data Engineering: Ensure efficient data flow between databases and backend systems. MLOps : Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. ML Architecture Design: Create machinelearning architectures using Google Cloud tools and services. Engineering Software for Production: Build and deploy production-grade More ❯
Senior MachineLearning Engineer - Python/TensorFlow/Keras/PyTorch/scikit-learn Wyatt Partners are working with the founders of an innovative MachineLearning startup to hire an experienced MachineLearning Engineer. They see the Senior MachineLearning Engineer quickly developing into the 'Head of MachineLearning' 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 MachineLearning Engineer will be responsible for: Developing cutting-edge algorithms Building data management pipelines to automate updates of core algorithms Productionizing the company's MachineLearning … team members We are seeking an individual with a top-tier academic background in MachineLearning, 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 MachineLearning Engineer role. More ❯
Senior MachineLearning Scientist - Recommendations page is loaded Senior MachineLearning 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. … MachineLearning 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 ❯
Senior MachineLearning Scientist - Recommendations page is loaded Senior MachineLearning 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. … MachineLearning 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 Depops search engine and ranking across the app. Responsibilities: You will: Research, design and deliver ML solutions to take … 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 ❯