326 to 350 of 1,244 Machine Learning Jobs in the UK

segmentation, and other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms ...

underlying technology, particularly in one or more of the fields of hardware design, encryption and data security, quantum computing, computational physics, neural networks, machine learning algorithms, virtualised and cloud computing, fault-tolerant computing and error handling, program control or databased technologies. NOTE: The role does not involve … have an interest in and understanding of how the technology works at a fundamental level. Knowledge of programming languages or completion of projects using machine learning or AI will only be beneficial where accompanied by a deep understanding of these areas of computing. For the first six months ...

coding genome to understand the root causes of human disease and enable new therapeutic targets. Combining high-throughput functional genomics with advanced computation and machine learning, the company’s platform integrates vast, complex datasets to drive precision drug discovery. As part of a cross-disciplinary Computational team … scale functional genomics data from raw, unstructured lab outputs to structured, accessible datasets used for analysis and decision-making. You’ll collaborate with bioinformaticians, machine learning specialists, and software engineers to ensure scalability, reliability, and performance across the entire data ecosystem. Key Responsibilities: Develop and manage core data ...

Role: Data & ML Architect Location: Newcastle Upon Tyne Levels: Associate Manager Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address … cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview As a Data & ML Architect, you will lead the design and architecture of scalable, enterprise-grade data platforms and advanced machine learning solutions. You will define ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full … experience (internship) in data science, insurance or climate modelling. SKILLS Keen interest in climate related topics; Highly skilled in statistics, probabilities, applied mathematics and machine learning methods; Eye for quality and attention to detail; Fluency in English (written and verbal communication) is required; Proficiency in Python (e.g. pandas ...

production-grade code to manage and execute orders across multiple MFT strategies and multiple exchanges in equities, crypto, and futures. Work with quant and machine learning researchers to continuously refine and improve data pipelines and execution algorithms. Provide an extra pair of hands for various other SE/… Build, maintain, and develop robust and optimized production-grade code. Manage and execute orders across multiple MFT strategies and exchanges. Collaborate with quant and machine learning researchers. Refine and improve data pipelines and execution algorithms. Support various SE/QD workloads. Qualifications Experience developing live execution systems across ...

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking … senior, hands-on Contract MLOps Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real ...

applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They … looking for an ML Engineer who: Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.) Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment Has worked with biological or molecular data in some form... proteins, molecules ...

UMBRELLA Role Overview We are seeking a highly skilled MLOps Engineer with strong expertise in AWS-native services, infrastructure automation, and end to end ML workflow operations. The ideal candidate will have deep experience with CloudFormation, SageMaker, Glue, Lambda, Spark, and Python, along with solid understanding of machine learning concepts, data pipelines, model monitoring, and production deployment. Key Responsibilities Design, automate, and maintain scalable ML infrastructure using AWS CloudFormation and AWS-native services. Build, deploy, and manage ML models on Amazon SageMaker (training, tuning, hosting, endpoints, pipelines). Develop and optimize distributed data processing workflows using Apache Spark ...

/ML Technical LeadLocation: Worthing (1 day pw onsite required)Daily Rate: £500 - £600 (inside IR35 via umbrella)Contract Length: 3 Months initially Are you ready to lead the way in AI and Machine Learning Our client is on the lookout for an experienced AI/ML Tech … ensuring governance models and delivery patterns are scalable for future use cases. Key Responsibilities: Develop and implement a practical architecture layer for AI/ML projects, turning visionary concepts into actionable patterns.Define platform setup, governance, and delivery approaches that support the expansion of AI/ML capabilities.Collaborate with cross-functional ...

Cambridgeshire - hardware-heavy environment Proper engineering role: ownership, impact, and technical depth What you'll do Build and maintain scalable Python tooling that supports ML research workflows Improve reliability: fix bugs, optimise performance, and ship iterative enhancements in sprints Integrate with distributed compute, data storage, and internal development systems Work … that span systems Must-haves 4+ years of commercial experience building software in Python Hands-on with PyTorch or TensorFlow in production or applied ML environments Experience with distributed or high-performance computing Comfortable working with large/complex ML datasets and research-style workflows Good communicator: you can explain ...

content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelor’s or Master’s in Computer Science, Linguistics, AI, or related fields. Experience working in AI/… with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement ...

solution design, proposal input and client presentations.* Mentor junior data scientists and analysts, contributing to capability development.* Maintain awareness of emerging AI/ML technologies, tools and methodologies.Required Skills and Experience* AI Project Lifecycle: Proven experience delivering full-lifecycle AI projects, from research and prototyping to production deployment. Strong communication … Analytics: Expertise in analytics for structured data, with strong Python skills and experience using frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.* NLP & ML: Deep understanding of NLP and ML techniques for unstructured content, including experience with foundation models and large language models.* AI Solution Development: Experience architecting ...

breadth. Key Responsibilities Act as a hands‐on builder of AI‐powered products from idea to production. Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions. Rapidly prototype, test, and iterate with real stakeholders and real data. Work closely with business teams to identify opportunities … define success criteria. Translate real operational problems into actionable AI solutions. Build models using classical ML (e.g., tree‐based methods, forecasting, uplift) as well as LLMs and generative AI. Develop predictive solutions such as churn, propensity, next‐best‐action, and lead scoring. Build APIs, services, and integrations enabling AI models ...

Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/AI/Artificial Intelligence ...

team working on AI Security. The aim is to further cutting-edge research and engineering approaches to solve real-world problems in AI/ML security, working in collaboration with Government partners such as select UK universities. Following in the footsteps of the institute s namesake, Alan Turing, the team … passion for, or experience in delivering real world impact via machine learning applications. Experience in; AI security applications, agentic systems, ML engineering, theory of deep learning, cryptographic or data privacy methods, manifold learning, LLM applications, mechanistic interpretability or adversarial methods are highly desirable but not essential. ...

Senior AI/ML Engineer Fully Remote £100,000–£120,000 + benefits About the Role Our client, a blockchain analytics scale-up, is looking for a Senior AI/ML Engineer to join their expanding team. They’re scaling their AI capabilities and need someone passionate about applying cutting … edge machine learning and LLM techniques to real-world crypto data. You’ll work directly with a Staff AI/ML Engineer who has built advanced ML teams in the past, driving projects that power their platform - used by investors to discover opportunities, perform due diligence, and defend ...

looking for: You may be: A graduate or undergraduate in Computer Science, AI, Data Science, or related fields A self-taught AI/ML practitioner with relevant projects An early-career technologist seeking formal qualifications and impactful work Essential skills: Strong foundation in AI/ML (e.g. neural networks … transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen) A passionate, motivated and driven person Desirable skills: Experience with ASR or captioning tools Knowledge of accessibility standards (e.g. WCAG ...

learning solutions with real-world impact. You will work on diverse projects across national security and healthcare-related sectors, applying AI/ML techniques to solve complex challenges. This is a London-based role with hybrid working support. Key Responsibilities: Lead and contribute to AI and ML projects … working closely with engineers, project managers, and non-technical stakeholders. Act as a technical point of contact, sharing expertise in AI/ML methods across projects and bids. Scope, plan, and deliver AI solutions, including model development, deployment, and evaluation. Mentor junior team members and support their professional growth. Present ...

thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs … time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles ...

test: Prompt-level guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets, adversarial evaluation corpora, and scenario-based test sets. Help transition research outputs … platform direction. Key Skills and Experience Strong Python programming skills and foundations in machine learning, LLMs, or multimodal AI. Understanding of ML concepts such as training, fine-tuning, optimisation, evaluation, and model drift. Experience building or adapting ML models (open-source or proprietary). Ability to design structured ...

rare opportunity to apply cutting-edge data science in a highly innovative, collaborative, and impactful environment. Key responsibilities: Lead and contribute to AI and ML projects across diverse data types (text, images, audio, video, graphs, geo-location). Engage with stakeholders to scope projects, understand use cases, and plan technically … robust delivery strategies. Collaborate with ML engineers to build, deploy, and maintain models using cloud services (AWS). Conduct research, literature reviews, and provide technical guidance to shape solutions. Present complex technical concepts to both technical and non-technical audiences. Mentor junior team members and support the broader team ...

small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning ...