1 to 25 of 508 Machine Learning Jobs in London

Data Scientist A leading Tech & Data company are looking for a Data Scientist with strong AI/ML experience to develop new applications of data science and AI across the business. You will enhance customer propositions using a variety of machine learning methods. This is a permanent role … a data science framework/solution (e.g. with Marketing, Product, UX/CX) Manage the scoping and delivery of data science projects Partner with ML Engineers to ensure that all models are put into production and deliver clear impact to the business Communicate technical outputs and results to non-technical … Experience required: A passion and motivation for using Data Science to solve real world customer problems Demonstratable experience in end-to-end AI/machine learning model development Proficiency in Python & SQL Outcome focused more »

Management function, as a Business Development Manager, supporting the next phase of Cyberforts growth. Youll be joining a culture of knowledge sharing and continuous learning with expert peers in Sales, Bids and lead conversion. We work across a number of sectors with a diverse client base. We aim to … investment in developing technology and cyber capability; we aim to deliver innovation to our customers as fast as possible. Whether it's AI-driven ML-based threat intelligence or rapid start hybrid Cloud; our goal is to implement solutions that make us stand out in the market. If that sounds more »

. Robotic Operating System: Experience with ROS 2. . Version Control: Proficient in using GitLab for source code management and CI/CD. . Machine Learning Frameworks: Strong experience with Pytorch. . Data Annotation and Management: Experience with Roboflow or similar tools. . Problem Solving: Excellent analytical and more »

integrations and transformations. Opportunity for major impact on project zero-to-one. Join an innovative team pushing the boundaries of AI! Keywords: Engineering, AI, Machine Learning, Generative AI, Rust, Clojure, Haskell Day rate: £750-£850/day 5 month contract with the possibility of extensions The Team: The … Generative AI Engineer: Work with quant developers and subject matter experts Design and build high-quality, reliable, scalable software Apply knowledge of AI/ML and LLMs to practical business problems Develop Python code and interfaces (APIs and services) Ensure effective platform architecture and scalability Required Skills and Experience for … a Senior Generative AI Engineer: Passion for designing reliable large-scale software Passion to adopt rapidly advancing AI/ML techniques Proficiency in Python Very strong Java, C#, or similar language experience Experience with Rust, Clojure, Haskell a plus Design simple and effective interfaces Broad understanding of computer science Outstanding more »

Machine Learning Engineer up to £75 000 London NEW Machine Learning Engineer Opportunity Available with a Leading Organisation! The Company: Are you an expert in Machine Learning? We are on the lookout for a Machine Learning Engineer to join an ambitious team. … through Data scientists/Engineering and Machine Learning Ops' best practices and you will be working on Recommendation Systems and Deploying complex ML Models. The Role: As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning … Apply: Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page. Desired Skills and Experience ML Engineer, Python, Machine Learning more »

Exciting opportunity for a Machine Learning Manager to join an innovative start up who are developing a first of its kind medical device. They are looking for an experience Machine Learning engineer who has lead teams in developing timeseries models and dealing with numerical data. Responsibilities … Implement machine learning strategies for medical devices, focusing on model development, deployment, and data collection. Guide a team of data analysts and machine learning specialists to ensure the successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical device development. Develop predictive models and algorithms to identify innovative solutions, enhance existing designs, and predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to ensure the accuracy and reliability of machine learning models for more »

MACHINE LEARNING ENGINEER £75,000 HYBRID - London COMPANY: We are looking for a Machine Learning Engineer to join a leading Marketing Consultancy. They are looking to grow to be an even bigger player within the … industry through Data scientists/Engineering and Machine Learning Ops' best practices. You will be working on Recommendation Systems and Deploying complex ML Models. ROLE: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow … with stakeholders. REQUIREMENTS: You need to have a MSc or PhD level in Stem subject. You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka more »

Senior Machine Learning Engineer Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA Approved Umbrella) Location: London (3 days onsite a week) Are you a Senior Machine Learning Engineer looking for a challenge working with a Global Marketing Agency? The Senior Machine Learning … have the chance to collaborate with large technical teams and work in a fast past, forward thinking mindset. We’re looking for the Senior ML Engineer to be involved in their ongoing and upcoming projects which will take you past the initial 3-month period. The Senior Machine Learning … If you’re interested in this contract opportunity then please let reach out to me! Experience needed for this position (Please read carefully) Senior Machine Learning Engineer with over 5+ years of experience Python experience SQL experience AWS Redshift experience Predictive Modelling Clear and concise communication skills Senior more »

key stakeholders across the organisation and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced ML engineers who have recently transitioned to leading ML engineer ICs, and delivering complex ML engineering solutions. This role is perfect for a leader who is … a mentor, coach and a role model in our organisation. You Will: Be a people leader of a small (approx 4-6) team of ML and data engineers .Also be hands-on as needed coding, ML model design, system design, data modelling, code pairing, PR reviews, writing TDDs (technical design … technical roadmap for your team in line with the product roadmap. Provide engineering/technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci’s Knowledge Graph. Work closely with other engineering leaders to ensure alignment on technical solutioning. Liaise closely with stakeholders more »

Machine Learning Engineer As a Machine Learning Engineer, do you want to join an innovative AI R&D organisation developing cutting-edge AI solutions?Do you enjoy fine-tuning LLMs and deploying models to production as a Machine Learning Engineer?As a Machine Learning Engineer, your role will be key for Application Development. You'll be at the forefront of their delivery function implementing, fine-tuning and deploying Large Language Models (LLMs) and Transformer Models in the PropTech space.You'll report into the CTO and work closely with Analysts and Engineers … to take ownership over product delivery, if you have a product mindset and enjoy problem solving keep reading!Your role:Create, implement, and maintain ML Model pipelines.Fine-tune LLMs for optimal performance.Evaluate and fine-tune the performance of production models.Collaborate with the software development team to deploy models to production.We more »

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … translating your ideas and coded models into trades. Responsibilities: Have access to large data sets and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. … field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one deep learning framework. more »

Machine Learning Engineer (one day a week in the central London office) This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture … of Machine Learning Engineer will include: Develop and deploy machine learning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging cloud services, Docker and Kubernetes. Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring … Engineer, your background will include: A minimum of fours years industry experience in machine learning. Familiarity with cloud computing, data pipelines, and distributed ML technologies. Strong programming skills in Python, and experience with ML frameworks. Knowledge in Agile methodologies, CI/CD tools (e.g., GitHub Actions, Jenkins). Please more »

technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of our machine learning operations. As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support … the deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance technology. Responsibilities: Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end lifecycle of … machine learning models. Develop automated pipelines for model training, testing, deployment, and monitoring. Establish best practices for versioning, reproducibility, and scalability in ML workflows. Collaborate with cross-functional teams to integrate ML models into production systems. Implement robust monitoring and alerting mechanisms to track model performance and health. more »

I am looking for a Machine Learning Engineer to join a small Start Up based in London. My client is based in Central London and work collaboratively in the office, so on site work is a must. Salary is dependant on experience and in the region of … 50k, with the opportunity to grow professionally with a highly motivated start up. My client work in EnergyTech and are using AI/ML algorithms for data analysis, which has already led them to become an industry revenue business within 4 years of establishment. You will be responsible for the … research and development of machine learning algorithms optimisation, design and implement pre-processing pipelines for large data, create visualisation and reports for model performance, whilst collaborating with various engineers to improve knowledge and spark innovation. As the Machine Learning Engineer you will ideally have a degree more »

Software Engineering role and will also require the ability to research and develop new solutions to complex problems. ILASP specialises in developing logic-based machine learning systems. Compared to other forms of machine learning, the main advantage of logic-based systems is that the learned concepts … explainable. We currently hold research contracts both with the UK military and with UK universities, in which we are leading research into logic-based machine learning and its applications. Our projects are diverse in nature, both in terms of their domains and in terms of the tools being … in meetings and demonstrations with customers. · Ensuring that deadlines for the deliverables of your projects are met. What we are looking for: Logic-based Machine Learning is a specialised area, and we do not necessarily expect previous experience in this area; much more important is your willingness to more »

are looking for a Lead Machine Learning Engineer to join their team, working a part of the Data Science team to integrate ML technologies into internal business processes. Responsibilities: Lead the design, development, and deployment of ML models and pipelines, in close collaboration with Data Scientists, ML Engineers … Drive the adoption of best practices in code quality, design, scalability, and maintainability. Mentor and upskill members off the team. Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep … Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations Technical leadership, strong communication skills, mentoring experience How to Apply: Please register your interest more »

contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research areas in … computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company Contribute … broader research strategy of the company Challenge the status quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. more »

MLOps Engineer into their team. This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machine learning operations. The successful candidate will work closely with the data scientists, software engineers, and IT professionals to deploy, manage, and monitor machine … deployment. Implement monitoring and alerting systems to ensure the performance and reliability of deployed models. Optimize infrastructure and resources to support scalable and efficient ML operations. Stay current with industry trends and best practices in ML Ops and recommend improvements to existing processes. Provide technical support and troubleshooting for ML … related issues. Requirements: Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred. 2+ years’ experience in ML Ops, DevOps, or a related field. Solid understanding of machine learning concepts and techniques. Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud more »

accuracy. Stay up to date with the latest AI technologies and techniques, driving continuous innovation. REQUIREMENTS: Strong software engineering skills, with a focus on machine learning and AI. Experience deploying foundational Language Models (SLM/LLMs) in production environments. Proficiency in deploying machine learning solutions at … search, retrieval, and reranking. Ability to collaborate with various stakeholders, including backend engineers, front-end engineers, and product designers. Additional advantage for experience in ML Ops and deployment across cloud platforms (AWS, GCP, Azure). Practical experience with machine learning techniques for search and retrieval, such as Learning more »

of the largest Healthcare organisations across the UK! They are looking for Senior Data Scientist to join their team, working on high-impact, bespoke machine learning models as part of a high-performing team leveraging advanced analytics techniques to extract insights from complex dataset. Responsibilities: Working closely within … a team, to design and build advanced performance metrics machine learning models. Providing advice and upskilling juniors on statistical methods, healthcare and science data, products, data manipulation, and dashboarding products. Developing new data-driven solutions and approaches to support new commercial solutions and project proposals Stay actively informed … Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in either consulting or healthcare Experience building capacity and demand machine learning models. How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords more »

the technical foundations used across all Tractable products, currently focused on auto insurance and natural disaster recovery. Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). We focus on creating mission-critical AI systems solving some of … that enjoys being ambitious while working autonomously. As an Applied Science Manager, you will:Directly manage and lead a team of Applied Scientists and ML Engineers to deliver AI/ML solutions at scale that empower our devices to provide the best experience for our customers.Define a long-term science … in Computer Science or related field with a focus on Machine learning is a strong plus).Experience in building complex AI/ML models and systems for business application (Experience in building AI/ML systems that scale globally is a strong plus).Experience in leading Scientists or more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future … we’ll need a capable and experienced engineer who is happy making independent technical decisions. Responsibilities Deploy, optimise and maintain the machine learning models at the core of the company’s product offering. Focus on creating state of the art … recommendation system and graph network technology that is scalable and stable. Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning more »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team Low ego management style Strong Python coding experience Experience with the SQL querying language Experience working with Docker both in more »

large, complex datasets to extract actionable insights and build predictive models to optimise energy production, distribution, and consumption. Algorithm Development: Develop and implement advanced machine learning algorithms to forecast energy demand, improve grid reliability, and enhance operational efficiency. Big Data Management: Utilise big data technologies to process and … and dashboards to communicate insights to stakeholders at all levels of the organisation. Research & Innovation: Stay abreast of the latest advancements in data science, machine learning, and the energy sector to drive continuous innovation. Qualifications: Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics … the energy or utilities sector. Technical Skills: Proficiency in Python, R, SQL, and big data technologies such as Hadoop, Spark, or Kafka. Experience with machine learning frameworks such as TensorFlow or PyTorch. Analytical Skills: Strong problem-solving skills with the ability to derive meaningful insights from complex datasets. more »

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will more »