226 to 250 of 1,120 Machine Learning Jobs in England

SeniorML Systems Engineers - Vision ML/Visual Data Processing A privately backed AI technology company operating at the intersection of machine learning in the media industry. You will own core ML infrastructure end to end, from data ingestion and curation through to distributed training and production inference, working … scale multimodal datasets (video, embeddings, metadata). This is not a research role. The focus is on productionising models, building reliable platforms, and making ML systems fast and scalable in a real production environment. The ideal profile is an ML engineer transitioning from research into platform ownership - someone ...

experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built … comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users ...

date with its features, capabilities, and roadmap Tungsten Solutions Knowledge : Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction … term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration ...

Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer/Embedded Vision Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical … Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they’re scaling globally — and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

Senior Software Engineer (ML Systems) Title : Senior Software Engineer (ML Systems) Company : Deep Technology Organisation Location : London Pay : Up to £120,000 Company : A deeply technical organisation is investing heavily in the future of large-scale intelligent systems. They are assembling a small group of exceptional engineers and researchers … deployed. In you, they hope to find a strong systems engineer with experience building or analysing high-performance computing platforms, distributed infrastructure, or machine learning systems. You will work alongside experts across software, infrastructure and research to shape the next generation of large-scale compute systems. There ...

SeniorML Systems Engineers - Vision ML/Visual Data Processing A privately backed AI technology company operating at the intersection of machine learning in the media industry. You will own core ML infrastructure end to end, from data ingestion and curation through to distributed training and production inference, working ...

/London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large‐scale ML pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master’s or PhD in Computer Science ...

Bachelor's degree (or equivalent experience) in Computer Science, Data Science, Engineering, Mathematics or a related STEM discipline. Proven substantial experience in AI/ML development, data science, or a related technology domain - including taking the lead in developing or evaluating complex AI solutions from concept through to implementation … these effectively on real-world projects. Excellent analytical, communication and leadership skills, with hands-on proficiency in programming and prototyping (e.g. Python, AI/ML libraries, data analysis tools), and an energetic, inquisitive and proactive approach with the integrity to thrive in a high-security, safety-first environment. Work hard ...

London. In this pivotal role, you'll provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical … position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

systems. R&D: Working on functional programming, either with pre-existing languages (such as Rust and Erlang) or purpose-built languages similar to OCaml. Machine Learning: Building out Machine Learning infrastructure and tweaking research models. Requirements Technologist: Keen technologist; language agnostic but ideally experienced in Rust ...

B.V. is looking for a Principal Research Scientist to help define and accelerate their machine learning research agenda. This position is ideal for an established researcher who wants to remain at the forefront of machine learning while applying their expertise. The successful candidate will work with ...

leading global investment firm is seeking a Data Scientist/Machine Learning Scientist to design and implement advanced machine learning models. You will drive data-driven strategies, build robust analytical tools, and collaborate with various teams to provide actionable insights. An ideal candidate should have ...

delivery of live client projects. Assisting UK and offshore teams with project activities. Helping with data analysis, testing, documentation, and reporting. Supporting AI/ML, Power Platform, and software development initiatives. Learning new technologies and business processes as part of your day-to-day work. Working closely with experienced … consultants and developers. Taking ownership of assigned tasks and contributing to project success. Technologies We Use Artificial Intelligence (AI) & Machine Learning (ML) Microsoft Power Platform Power Apps Power Automate Power BI Custom Software Development Microsoft Azure Data Analytics & Reporting What We're Looking For We are a small ...

shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components … technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML/LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity ...

forefront of innovation by joining a leading AI research firm, building ML models that power products and drive decision-making at scale. Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets … extract insights and train algorithms Perform feature engineering to improve model accuracy Design ML pipelines and automate model deployment Collaborate with software engineers to integrate models into applications Use MLOps practices for monitoring, retraining, and lifecycle management Conduct A/B tests and measure real-world model performance Stay ...

technical expert in machine learning and AI. In this hybrid role based in London, you will guide customers in implementing production-grade ML applications and become a key player in leveraging Databricks' technologies. The ideal candidate will have strong data science and machine learning expertise, excellent … communication skills, and experience in a customer-facing technical role. A significant opportunity to contribute to the ML community and projects awaits. #J-18808-Ljbffr ...

Monzo is looking for a Lead Machine Learning Scientist to enhance customer experiences by developing advanced Machine Learning models. You will dive deep into … billions of data rows, ensuring personalization in banking services. Collaborating closely with a cross-functional team, your leadership and technical expertise will drive impactful ML solutions. This role allows for flexibility, with the option to work part-time and opportunities for relocation or visa sponsorship available. Join us to make ...

investing, angel investing, or technical due diligence Strong network in the European AI, software, research, or startup ecosystem Strong understanding of modern AI/ML systems, including model development, data pipelines, deployment, evaluation, and production constraints Excellent analytical skills and ability to quickly understand new markets, products, technologies, and business … manage several processes in parallel Strong plus Prior founder, startup or hands‐on experience building, shipping, or scaling technical products, ideally in AI/ML, data, software, or infrastructure MSc or PhD in Computer Science, Machine Learning, AI, or a related technical field Domain expertise in Industrial ...

knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data … complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer ...

enforcement, and telecommunications. As a Data Scientist, you will tackle complex, high-stakes data challenges for government clients, applying advanced data science and machine learning techniques to help organisations make faster, more accurate, and better-informed decisions where it really counts. Key Responsibilities Leading client projects and providing … science libraries, implementing established techniques or developing novel approaches as required. Designing, evaluating, and implementing on-premises, cloud-based, and hybrid data science and machine learning techniques and algorithms, including testing, risk identification, and mitigation. Developing scalable models and algorithms suitable for production deployment. Applying ethical principles ...

this. Desirable Direct experience working with a longitudinal care record or linked dataset within an ICB footprint. Experience of data products that incorporate Machine Learning methods. Experience using primary care data in an analytical context. Experience using Patient-Level Information and Costing Systems (PLICS) to analyse cancer spend … conducting analysis with unstructured data, such as text (e.g. use of Natural Language Processing techniques) and image. Understanding of neural networks/'deep learning' and how these techniques could be applied in the Health and Social Care Domain. Developed knowledge of professional standards (including Code of Practice for Statistics ...

Senior Specialist Solutions Engineer (SSE), ML Engineering As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production‐grade ML applications on Databricks … with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team). ...

premise environments, driving modernisation, scalability, security, and performance.You’ll play a key role in architecting advanced analytics platforms using AWS SageMaker, Azure Machine Learning, and SAS 9.4/Viya, including leading SAS Viya migration and transformation initiatives. Key Responsibilities Lead end-to-end solution architecture across AWS, Azure … hybrid environments. Design scalable, secure, and resilient analytics and AI platforms. Drive SAS 9.4 to SAS Viya migration and platform modernisation. Architect machine learning solutions using AWS SageMaker and Azure Machine Learning. Define data platform architecture, analytics pipelines, and enterprise integration patterns. Collaborate with engineering teams ...

client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with researchers to align engineering work with research objectives and project goals Requirements … Computer Science or related subject Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience ...