176 to 200 of 1,344 Machine Learning Jobs in the UK

Janes enables militaries, governments, and defence companies to make critical decisions. Our expert-driven tradecraft, developed over 120 years, combined with human-machine teaming, delivers assured open-source intelligence across military capabilities and order of battle, equipment, events, countries, companies, and markets. Linking millions of assured data points, Janes … millions of assured data points across Janes foundational intelligence delivering the single source of truth. You will be working an environment which will encompass machine learning … and artificial intelligence, as well as taking advantage of the latest cloud offering in which we would encourage and support learning development. The ML Tech Lead will lead an agile unit within our Development and Technical team, based in our offices in Manchester. You will collaborate with architects, product more »

Description Are you ready to make waves in the world of machine learning and AI? We're on the hunt for a ML Architect to join our dynamic global R&D organization. We're looking for someone who brings the heat, fosters seamless collaboration, and is always chasing … solutions, you'll play a pivotal role in our success. If you're a maestro of mapping business requirements to the right AI/ML infrastructure and turning innovative ideas into deployable solutions. if AI and machine learning are your jam, and if you take pride in building … game. You'll be in the driver's seat, working with autonomy, accountability, and technical brilliance. Your mission includes: Translating high-value AI/ML opportunities into the proper technical/platform investments. Serving as our AI/ML technology whisperer, guiding us towards the latest and greatest AI infrastructure more »

Title: Senior Machine Learning Engineer (NLP) Type: Contract Rate: £500-600 per day Length: 6 months Location: London (Hybrid) We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products! You … to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion for … data science and mentoring, and a desire to share knowledge. PhD/Master's in CS, ML, or related field (preferred), innovative problem-solving skills, proficiency in Python and TDD practices, and a proactive learning mindset. If this sounds like you and you'd like to find out more more »

Job DescriptionTitle: Senior Machine Learning Engineer (NLP)Type: ContractRate: £500-600 per dayLength: 6 monthsLocation: London (Hybrid)We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products!You will:Build … learn to push the boundaries of AI.We're Looking For:Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes).Experience in agile environments (OKRs), excellent communication and collaboration skills, passion for data … science and mentoring, and a desire to share knowledge.PhD/Master's in CS, ML, or related field (preferred), innovative problem-solving skills, proficiency in Python and TDD practices, and a proactive learning mindset.If this sounds like you and you'd like to find out more, apply below with more »

company that specialises in the development of novel therapeutics for autoimmune and neurological diseases! Responsibilities: and implement advanced data science solutions, using AI and machine leaning, with internal and external data to support drug discovery collaboratively with experimental and computational scientists strong background in biologics to establish analytical workflow … statistics, data mining and visualisation of biological data (omics, NGS, and assay data) in integrative analysis of multiple omic data types including advanced statistical, machine learning and deep learning methods (large language models would be highly advantageous) domain knowledge, with a focus on antibodies is highly desirable … the global scientific community! Key Words: Data, Big Data, Bioinformatics, Programming, R, Python, Statistical, Data Mining, Data Visualisation, HPC Unix, Cloud-based, Computational, Deep Learning, Machine Learning, Biological, Biopharma, Biopharmaceutical, Drug Discovery, Omics, Poly-Omics, Target ID, Target Validation, Biomarker Discovery, Oxford, Hertfordshire, Wiltshire, Berkshire, Oxford, Reading more »

Senior Machine Learning Engineer Location: Remote in the UK Be part of the AI revolution! We're on the lookout for an Engineering Lead to join our Professional Services team. Your objective? To tailor and integrate our cloud-based AI language model builder to suit a variety of … Computer Science or related disciplines. Over 7 years of experience in software engineering, including at least 3 years in leadership capacities. Proficiency in AI, machine learning, and NLP. Demonstrated aptitude in project leadership and communication. Familiarity with AI frameworks and cloud platforms. Why work with us? Purpose-Driven 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 »

Use models like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data products and advanced ML solutions Translate complex data models to actionable insights End … to-end machine learning product development, from data wrangling to model tuning and deployment Provide insightful storytelling to stakeholders through compelling dashboards and visualisations Lead and oversee intricate data projects Coach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the team Requirements … Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks more »

Machine Learning Engineer (LLM) £60-80k + equity Full time in the office (London) Ground-breaking AI Start-up La Fosse have partnered with an initiative AI Start-up which their solution optimises LLMs to enable commercial teams to conduct hyper-personalised campaigns at scale and create … If you’re interested in this role and are happy working 5 days a week in the office, apply now to find out more! Machine Learning Engineer (LLM more »

experiencing an exhilarating phase of expansion, poised to construct composable, modular technology platforms aimed at bridging the global SME funding gap. 🔎 Who the senior ML engineer should be : We seek an AI expert with a robust scientific background and scalable production-level engineering skills. The ideal candidate will have spearheaded … internal and external stakeholders. Skills and Experience: Proficient in project management, with a track record of timely project delivery. Strong programming, statistics, mathematics, and ML algorithm fundamentals, with Python expertise. Familiarity with ML/DS frameworks (e.g., XGBoost, Scikit-learn) and modern OOP practices. Proficient in development best practices and … version control (e.g., Git). Knowledgeable in memory, disk I/O, and CPU/GPU management. Experience with modern ML/Data/Cloud engineering stacks. Detail-oriented with excellent communication and collaboration skills. Experience mentoring junior team members. Desirable: Experience with Google Cloud, Vertex AI, Big Query, and more »

cutting-edge software and AI solutions. Their mission is to revolutionize industries through advanced technology, utilizing a combination of Java, Kotlin, React, JavaScript, MongoDB, Machine Learning, and Azure cloud services. They are dedicated to pushing the boundaries of what's possible and delivering impactful solutions to their clients. … technical specifications and solutions. Design and develop robust, scalable, and efficient software applications using Java, Kotlin, React, JavaScript, MongoDB, and other relevant technologies. Implement machine learning algorithms and integrate AI capabilities into software solutions to enhance performance and functionality. Work closely with DevOps teams to ensure smooth deployment … development, with a strong proficiency in Java, Kotlin, React, JavaScript, and MongoDB. Solid understanding of machine learning concepts and experience in applying ML algorithms to real-world problems. Hands-on experience with cloud platforms, preferably Azure, and expertise in deploying and managing applications on cloud infrastructure. Strong problem more »

day as this position holds massive future potential for growth.Your role will involve:Developing our web application written in Javascript and NextJS;Implementing backend machine learning and data services, and integrating them with our web application.Suggesting and leading internal tools for our team to use that will aid … deploying full-stack web applicationsQuantitative degree from a top universityThe following is DESIRABLE, not essential:Experience with Node.JS to a production levelFamiliarity with various machine learning APIsAn understanding of machine learning techniquesBenefits:Making a serious impact from day one. We're an agile company at the more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now what 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 taking 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 »

Machine Learning Engineer Remote - UK and Europe Join us in the AI … revolution! We're building an advanced AI system to unlock insights across industries like Finance, Strategy Consulting, and Engineering. 🔍 We are excited to welcome ML Engineers who have worked with: Transformer models Deep learning model implementation ML model deployment at scale Proficiency with ML frameworks Stay updated on the … latest in deep learning and large language modelling What will you be doing as an ML Engineer: Design model integration Implement models into production Rigorous testing Conduct research and document findings Incorporate best practices Introduce cutting-edge techniques Shape the future of AI with us! Apply now more »

Do you have a passion for data science, machine learning, and earth observation (EO)? Are you an expert in building robust and secure platforms for collaboration? Our Client (a world leader in environmental science) is seeking a skilled contractor to develop innovative platforms and infrastructure. These platforms will … support research, development, and learning initiatives in data science, machine learning, and EO. The Opportunity: In this role, you'll play a pivotal role in: Understanding user needs: You'll collaborate with stakeholders to gather requirements for platforms and infrastructure that support data science projects and hackathons. … with designing, building, and testing system interfaces. Technical know-how: Demonstrated awareness of relevant subject matter and a high-level understanding of data science, machine learning, and EO. Design thinking: The ability to translate business problems into effective technical designs. Communication skills: Excellent communication skills to bridge the more »

key part of your role. What are the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing … with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. more »

as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company more »

advanced analytics supporting our Healthcare insurance business. As the insurance industry evolves in a technologically dynamic age, Aviva is strategically investing in data science, machine learning, and advanced analytics as a distinctive capability. A bit about the job: In this role, you'll play a vital role in … align seamlessly with the objectives of each team. You will also be closely collaborating with data scientists and engineers to deploy, monitor and maintain ML models in production, as well as implement best practices for continuous integration, testing and deployment of ML models. As a leader in this domain, you … learning model development and deployment. Excellent communication and teamwork skills, capable of collaborating effectively with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge more »

in coding in Python and have proven experience in machine learning/deep learning. You’ll have the skills to build scalable ML applications by yourself and deploy these applications in the cloud as a service. It’s not for everyone. Because of our speed and growth, it … on a hybrid working arrangement. What we are looking for: Approx. 3+ years industry experience in software engineering Solid software design principles Understanding of machine learning Knowledge of common software engineering best practices e.g. test-driven development, version control, CI/CD, containerisation Strong Python skills, including production … with at least one common cloud provider (AWS, GCP, Azure) Desirable: Experience in AI-focused software development, especially with LLMs. Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow What we offer: A competitive salary Full-time employment subject to a probation period. An office location in Bristol more »

projects alone or with other data scientists, using analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers … and business experts to scope and design the most effective and appropriate offers to solve their problems. Current and past tasks range from using machine learning to extract causality for road collision severity, to visualising and mapping insights; using computer vision AI techniques to extract information from raster … communication skills with the ability to tell compelling stories and adjust style to suit clients/stakeholders with varied technical knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related 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 »

Join us in pushing the boundaries in Conversational AI. As a Machine Learning Engineer, you'll be at the forefront of shaping … tomorrow's intelligent systems, optimising and deploying code for our cutting-edge Language models (LLMs) with a relentless focus on pioneering new features and ML pipelines. Build our state-of-the-art RAG system, where custom ML solutions are at the heart of the project. Embark on the journey of … efficiency of AI-driven conversations# We would love to talk to anyone with a strong Python and AWS background who has focused on productising Machine Learning Solutions. more »

scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments. You’ll do this by designing, implementing, and deploying machine learning systems that help our desks and portfolio companies make better business decisions and ultimately drive value. You may also participate in due … matter expertise in valuable areas for the business. Requirements: degree in STEM field or equivalent. Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages more »

venture-backed by 8VC, revenue-generating, and have multiple years of runway.Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point.This involves:Building edge applications processing vision data and communication layers for the compute-constrained edge devices.Deploying … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch).High intrinsic motivation to succeed and ability to work hard. What we offer £80-120k base Company equity % in an more »

Position: Machine Learning Engineer Key Responsibilities: Prototype, build, and implement new AI approaches as part of a wider team Intergrate and deploy ML Models into main environement Contribute to a data-driven decision-making process Collaborate with a small, dynamic team in an R&D environment Requirements: Strong … solving Proficiency in data science, including handling large datasets, modeling, and evaluation Understanding of software engineering concepts, especially best practices within development Experience with machine learning Python frameworks like PyTorch, Tensorflow, and Scikit-Learn Desirable Skills for Senior Candidates: Familiarity with related academic fields such as NLP, Computer … Vision, or Deep Learning Demonstrable industry experience with significant impact in a commercial setting Experince with cloud technologies, especially AWS Strong Python more »