176 to 200 of 954 Machine Learning Jobs in England

Machine Learning Engineer Up to £65,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. The Role: Your day-to-day responsibilities will include … the Head of Data Science - working closely with a wider Engineering function Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps Your Skills and Experience: MSc or PhD level education … in STEM subjects. Strong experience in data pipelines and deploying ML models Preference for experience in retail/marketing Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in feature engineering and third-party data Apply below more »

ResponsibilitiesLeading an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that … research organization through technical leadership.Demonstrated experience in recruiting and managing technical teams, including performance management.Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end.Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentoring team members.Technical experience … in leading teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).Start preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prepLocationsWarning noticeYour browser doesn't more »

Senior Software Engineer (ML) - £100,000 Title : Software Engineer Company : Deep Learning (HPC) Location : Hybrid (Cambridge) Salary : £100,000 Skills : Rust/C++, Deep Learning Overview : An elite, boutique start-up operating at the intersection of HPC and Deep Learning is paving the way for a new … between a Software Engineering and Machine Learning engineering role in a greenfield environment. About you : 4+ years in a Software Engineering/ML role Extensive performance optimisation Very strong C++ or Rust experience (bonus points for Rust) Exposure to GPUs Deep learning toolkit experience (E.g., TensorFlow, PyTorch more »

acquisition by BioNTech has further solidified our commitment to leading the industry.Join us to be a part of the AI revolution!Are you an ML Ops Engineer - Team Lead passionate about Product & Innovation?If so then keep reading…As ML Ops Engineer - Team Lead you will be working at the … intersection of machine learning and engineering (i.e., ML Ops), leading teams to deliver innovative and high-quality services. You will be a strong advocate for both engineering standard methodologies (e.g. code reviews, unit testing) and also the adoption of new technologies.ResponsibilitiesWork end-to-end on the ML lifecycle … from data exploration to model operationalization, and Partner with different teams and domains on crafting, explaining, and implementing ML models.Collaborate with data engineers, data scientists, product, etc in a multi-functional team for the delivery and maintenance of these solutions and business integrationWorking closely with the other department to understand more »

team are London based (hybrid - 2x per week in office).As a Quantitative Analyst, you will have:Proficiency in PythonPhD within a numerate subjectStrong Machine Learning exposurePassion for algorithmic trading (previous experience not required)Does this sound interesting?Data Scientist Key Words: VBA, Excel, Financial, Finance, Data, Analytics … Random Forests, Decision Trees, Python, R, SQL, Mathematics, Statistics, Statistical, Predictions, Predictive, AI, Machine Learning, Deep Learning, Modelling, Algorithms, Pandas, NumPy, PyTorch, TensorFlowJob typePermanent more »

London Inside IR35 Our client is seeking an interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading … Provide strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends … and partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative more »

the shared passion to positively impact society. You will be supported in your professional development by working closely with the Head of Data and Machine Learning alongside 5 other Data Scientists.Between the team, they have run Amazon's European supply chain, built Just Eats corporate meal delivery platform … of interest? Apply now!Data Scientist Key Words: Data, Science, Scientist, Analytics, Statistics, Flexible, collaboration, Python, R, SQL, Mathematics, Statistics, Statistical, Predictions, Predictive, AI, Machine Learning, Deep Learning, Modelling, Algorithms, Pandas, NumPy, PyTorch, TensorFlow, ELT, ETL, AWS, Azure, Database, Data Engineer, Engineering, Development, Pipelines, GCPJob typePermanent more »

Learning Engineer Up to £110,000 London *** Active security clearance is essential*** I've got an urgent requirement for a Senior/Lead ML Engineer. I need people available with one month's notice or less and you have to hold active security clearance (SC/DV). The … site in London a couple of times a week. To be successful you'll need a strong MLOps skillset and sit more on the ML infrastructure and deployment side than the ML theory/science. You need to be able to hold your own in discussions with C-Suite and … and experience: Production level Python Cloud architecture (ideally AWS) Docker/Kubernetes Excellent communication skills and commercial acumen Extensive experience delivering end-to-end ML/AI solutions including production and deployment MLOps Active security clearance (SC/DV) Please only apply if you hold security clearance and you're more »

parameters to improve strategy performance. The candidate can expect exposure to a wide range of interesting and challenging problems involving financial market, statistical modelling, machine learning, deep learning, and computational finance. Required Core Competency Deep understanding of financial markets and market micro-structure Exceptional analytical and problem … skills and strong track record of using creativity to come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors more »

INFOLead Machine Learning EngineerUp to 115,000 + benefitsLondon - 3 days a weekThis is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work end to … Data ScienceChance to have 1 direct report within an MLE team of 3Focusing on end-to-end data pipelines, for training, evaluating and deploying ML modelsWorking closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructureDriving best practices in a fast paced environment, within a … well established companyYour Skills and Experience:MSc or PhD level education in STEM subjects.Strong experience in building and deploying ML modelsPreference for experience in retail/marketing but not requiredCandidates should be looking to work in a fast paced startup feel environmentTech across: Python, SQL, AWS, Databricks, PySpark, AB Testing more »

Lead Machine Learning Engineer Up to £115,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to … Chance to have 1 direct report within an MLE team of 3 Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Driving best practices in a fast paced environment … within a well established company Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong experience in building and deploying ML models Preference for experience in retail/marketing but not required Candidates should be looking to work in a fast paced startup feel environment Tech across more »

strategic directives. Key responsibilities of the position include identifying and pursuing strategies to protect innovation in IsoLabs’ research and development activities (including AI/ML as well as small molecule and biologic therapeutic innovations), effectively educating on IP matters, communicating IP guidance, and managing the Company’s intellectual property affairs … provisions in marquee licences and other high-impact agreements Experience practising patent law in the area of artificial intelligence (AI), machine learning (ML), deep learning, data sciences and/or AI-driven drug discovery Experience building or developing an early stage IP legal function Culture and values … and represent the populations we are striving to serve. We’re working to build a supportive and inclusive environment where collaboration is encouraged and learning is shared. We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal more »

Lead Machine Learning Engineer Up to £95,000 + 10% bonus, car allowance and benefits West London - 1-2 days a month This is a chance to join an Telecomms company help build and deploy impactful models and work with cutting-edge technologies. They are looking for a … Science Chance to upskill and mentor juniors whilst remaining fully hands on Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Driving best practices in a fast paced environment … within a well established company Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong experience in building and deploying ML models Preference for experience in customer modelling but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python more »

These roles will sit in our Embodied AI division which will consist of modelling, robotics and data teams working with another group that provides ML training infrastructure.You will grow the team according to the product roadmap on commercialisation timelinesYou will be expected to establish solid ML practices from the start … developing our autonomous vehicle capability roadmap with production-level quality data and models across the ML cyclePrioritising effectively, keeping processes lean and effectiveChallenging the status quo (both technical and organisational/process)Training, tuning and debugging production models, informing decisions on how to collect and synthesise training data. The technology … could be contributing to a bug, add feedback loops, and then assess feedbackWhat you will bring to WayveEssential:Prior experience as a manager of ML development teamsPassionate about fostering personal and professional growth in individual team members Industry experience with embodied AI development with real-world product impactExperience with roadmap more »

us know.SnapshotWe are seeking an experienced Software Engineering Manager to lead a team of engineers and researchers focused on optimising performance of AI/ML models across Alphabet. You will play a crucial role in accelerating research breakthroughs, streamlining the research-to-production pipeline, and ultimately accelerating the delivery of … and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.The RoleAs an Engineering Manager in the ML Performance space, you will lead a team of talented software engineers in tackling the complex challenges of optimising AI models at scale. This includes improving … Collaborate on technical direction setting and ensure alignment with overall deployment strategy. Provide guidance based on your domain knowledge and experience.Drive technical excellence for ML performance: Oversee the implementation of strategies for optimising performance across our workloads. Leverage your domain expertise to guide technical decisions and ensure best practices are more »

prediction targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machine learning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deep learning and advanced machine learning more »

learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Qualifications Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker Experience in DevOps, Cloud Operations, ML more »

and platforms, with a focus on applying these technologies rather than developing them from scratch Experience in designing and prototyping solutions using AI/ML platforms Relevant programming languages subject matter expertise Excellent communication skills Strong leadership skills including mediation, negotiation, delegation, feedback and evaluation of staff Strong administration and … management skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services is a plus. Understanding of how to take requirements and separate them into development stories and tasks using various different approaches. Ability to research complex new topics, devise prototypes and propose technical designs. … exciting opportunity then please apply and we’ll get back to you as soon as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »

Machine Learning Engineer (LLM) (Visit the London office x3 days a week) Xcede are delighted to be working with one of the world’s most prestigious research & publishing organisations. The organisation have been operating for over 25 years, conducting quantitative and qualitative research to help rank, highlight, and … of data types that the company have access to, from PDFs, Word Docs, Audio files, JSON, etc. Requirements Significant commercial experience building AI/ML tools (ideally within a few years of building LLM based applications). Strong understanding of ML fundamentals (including Supervised & Unsupervised algorithms) Significant NLP, LLM, and more »

work will have a very direct, measurable impact on achieving those goals.Senior Data Scientist – Spiking Neural NetworksJob responsibilities:Apply your existing knowledge of SNNs, machine vision and image analysis techniques to the development of a novel SNN engine based on our research outputs. You may also be asked to … work on projects that make use of CNNs and Transformer networks.Enhance machine learning software with the latest in machine learning algorithms.Work with other team members tasked with the development of a system for automating the production of synthetic training images derived from digital 3D virtual reality … work into practice.Contribute to the development of systems that will be core components of our machine vision, image analysis and other AI/ML products.Support the work of other data scientists and developers in the team.Work with research colleagues and offer technical support to colleagues in commercial roles in more »

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … Develop High-Quality Code: Lead pipeline development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. … Experience Requirements: Advanced degree (Master’s or PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools more »

software development teams, and hands on development within a fast-paced, dynamic environment. This role will involve working with AI so an interest in learning Generative AI and Machine Learning is a must. As a result of their hard work, our client has received several award nominations … Previous experience leading the delivery of innovative products or software solutions Strong experience with agile ways of working Strong understanding of Generative AI and Machine Learning and a passion for keeping up with the latest revelations in tech This is a hybrid working opportunity out of their Leeds more »

frameworks essential to the expansive quant trading operations. This presents an exciting opportunity for a Software Engineer to collaborate closely with Data Scientists and ML researchers in architecting, designing, and building the organisation's evolving ML infrastructure. The ideal candidate for this role should possess over 5 years of experience … as a backend Software Engineer, with a solid background in Python and Kubernetes with expertise in deploying ML models. Responsibilities: Design, build, and maintain multiple backend applications and frameworks crucial for quants and traders. Contribute to future plans and roadmaps, emphasising the development of flexible, scalable, and well-designed systems. … Collaborate closely with Data Scientists, ML researchers, and fellow developers to architect, design, construct, and maintain the constantly evolving ML infrastructure. Requirements: Over 5 years of experience as a backend Software Engineer. Strong desire for Machine Learning Infrastructure experience or prior involvement in the field. Proficiency in Python. more »

implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. … Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (e.g. Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL more »

modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing machine learning algorithms, working end-to-end on machine learning pipelines in production; data engineering working on ETL pipelines, crawling APIs and more »