126 to 150 of 1,144 Permanent Machine Learning Jobs in the UK

S-Cube is an award-winning energy tech startup based in London. The company specializes in creating revolutionary machine learning optimization algorithms and software for the seismic industry. S-Cube's X-Wave next-generation FWI is used by major global energy companies and continues to grow rapidly. … Responsibilities Algorithm Development : Contribute to the research and development of cutting-edge machine learning algorithms and optimization techniques for seismic data processing and inversion. Data Preprocessing Pipelines : Design and implement robust data preprocessing pipelines to handle large-scale seismic datasets. Visualization and Reporting : Create insightful visualizations and reports … Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable interest in audio recognition algorithms and related programming paradigms is a bonus Familiarity with Linux, AWS/GCP/ more »

working) £up to £68,000 A leading financial organisation based in London is currently looking to recruit a Data Engineer to join a growing machine learning team ideally with a strong track record of data modelling, developing, and delivering large scale data transformation project aligned with the overarching … Data Strategy. The successful data engineer will define, develop, and deliver data transformations that not only drives our Machine learning models but create more strategic transformation that delivers consistent data across the organisation for the various business needs. Key responsibilities Delivering data transformation based on the overarching data … service levels, which you'll agree with your manager - and your contribution to our commitments Working with business stakeholders and project team to identify ML and IA opportunities, and understand and capture business requirements Providing quality assurance on machine learning code developed by other team members You'll 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 »

an office in London, and while working there isn't mandatory, everyone is invited to join. Your responsibilities Join us in the role of ML Engineer and play a crucial part in developing our AI-driven knowledge management product. Your responsibilities will include: Contributing to the development of new generative … the DevOps mindset, which asserts "if you build it, you run it". Skills and experiences Must-have Solid computer sense and engineering skills. Machine learning and AI skills are layers on top of other core developer skills, so being a good software engineer is key. Skilled in … deploying machine learning solutions to production. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. You should be able to cooperate with other engineers, e.g., with the backend engineer for scaling and architecture, with the front-end engineer for user experience, and more »

in designing, developing, and deploying GenAI solutions to solve complex problems in Human Resources business area. The candidate will have a strong background in machine learning, natural language processing, and software development, with hands-on experience in implementing GenAI technologies. Key Responsibilities Develop and Implement GenAI Solutions: Design … Train and fine-tune AI models, ensuring optimal performance and accuracy. Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts … Document methodologies, processes, and results. Prepare reports and presentations for stakeholders. Qualifications Education: Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus. Experience: Minimum of 10 years of experience in data science, machine learning more »

that conducts support, research, and development across diverse areas such as cloud computing, high-performance computing, algorithm development, engineering and scientific computing, artificial intelligence, machine learning, and Exascale technologies. We work at the forefront of engineering and science, ensuring fusion reactors are well understood and engineered, with our … research directly informing engineering efforts. Currently, we're seeking individuals for Artificial Intelligence & Machine Learning roles to contribute to various projects, providing software development, data analysis, and user support. You'll also engage with partners to ensure access to top facilities and assist in report preparation, actively meeting … user needs. Additional Responsibilities: - Work in a team to support development of AI and Machine Learning tools and investigate novel approaches to improve data science capabilities for experiments on JET, MAST-U and other fusion devices. - Exploit the convergence of AI and HPC at the Exascale. - Support the more »

Software Engineer/Developer A brilliant opportunity for a R&D Software Engineer/Developer with strong Python skills to work on industry-leading, machine-learning software in Cambridge, UK. Offering excellent training, career progression and prospects, this is an ideal time to join this growing organisation and … part of a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will … for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work developing cutting-edge, machine-learning software A good remuneration and benefits package Applications Please send an up-to-date CV via the relevant link. If you require more »

Software Engineer/Developer A brilliant opportunity for a R&D Software Engineer/Developer with strong Python skills to work on industry-leading, machine-learning software in Cambridge, UK. Offering excellent training, career progression and prospects, this is an ideal time to join this growing organisation and … part of a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will … for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work developing cutting-edge, machine-learning software A good remuneration and benefits package Applications Please send an up-to-date CV via the relevant link. We’re committed more »

this role, you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation and EDA. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently … candidate will have advanced analytics and data science experience, successfully delivering data science projects. They will excel in data manipulation, statistical analysis, and implementing machine learning algorithms. Proficiency in BI tools (e.g., Oracle Analytics, Tableau), Python, and SQL is essential. Additionally, you will have stakeholder management experience and … their career. The Role: Leverage data science expertise to drive positive business impact Demonstrate experience in data preparation and exploratory data analysis (EDA) Use machine learning tools and statistical techniques to solve business problems Collaborate with non-technical experts to propose data-driven solutions Confidently present complex subjects more »

then this job is for you. You will be working within the computational team, under the guidance of the Lead Data Scientist, to develop machine learning models for understanding the fundamental rules in plant genetics. Successful projects will be highly scalable and automated across a wide range of … model, all the while having the opportunity to contribute to improving both the AI model and the laboratory processes. You will: ● Implement and test machine learning models ● Design innovative solutions for improving performance ● Maintain and contribute to the CRE.AI.TIVE TM platform ● Deploy jobs on both the cloud and … best practices ● Experience coding in a team using git version control and writing tests ● Familiarity with the Linux operating system ● Fluent in the core machine learning concepts, as well as training and optimising neural network models ● The ability to communicate complex ideas across a multidisciplinary team You get more »

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We … you'll doTackling real world security problems that affect our customers, building & leveraging massive threat intelligence data, with the help of data science and machine learning, and finally building scalable & performant distributed software that runs on thousands of machines all over the globe. All the while making a … You will work with our global data in excess of 10 million events per second (and growing fast!), and designing and implementing software systems, machine learning platforms, and AI models to leverage the data in detecting and mitigating abusive HTTP L7 layer traffic. Tech stack includes Go, Python more »

to be partnering with a global tech leader on their search for an experienced Machine Learning Engineering Manager to lead their agile ML Engineering team here in Belfast. This team are providing word class machine learning solutions at scale to some major clients and are on … Provide strategic technical direction, support, and mentorship, fostering a culture of continuous learning and innovation. Lead the recruitment, training, and performance evaluation of ML engineers, managing teams across different regions. Establish clear objectives, deliver consistent feedback, and promote professional growth to help team members meet their goals. Encourage collaboration … quality standards, drive continuous improvement initiatives, and address any customer-related challenges. Desirable Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience with 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 »

social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.About the team:The Conversion ML team is responsible for improving and maintaining machine learning models that have a pivotal impact on the performance of Accelerate customers’ advertising campaigns. … The team collaborates closely with other ML-oriented teams at Liftoff. We use many modern ML frameworks and architectures, including Spark and PyTorch to build deep neural networks.Location:This role is located in Liftoff's Hub in Paris, France or can be in any of the following locations: England or … Germany. ML Engineers located in Paris will be asked to come into the office once a week and once a month if located in one of the above countries. Responsibilities:Own both the ML models and the underlying software tooling and infrastructure. Our ML Engineer role combines the classic "ML more »

global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year … software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Benefits Attractive quarterly OKR bonus more »

to join their well established Data Science function acting as a Senior Machine Learning Engineer – this will mean that you focus on ML infrastructure and deployment methods. They’re an AWS house, so massive bonus points for experience in that kind of environment – particularly serverless/Lambda. Responsibilities … into initial model design & development Help train and mentor others when it comes to best practice around engineering & model deployment methods Ensure that all ML-based infrastructure is in the best possible state. Requirements Commercial experience working as an ML Engineer model deployment) or MLOps/Data Science Engineer role. … End to end "full stack" ML experience in AWS Strong Python coding skills CI/CD experience Ideally some Time Series experience Any LLMs experience in a commercial environment is a bonus If this role interests you and you would like to find out more, please apply here or contact more »

Learning Researcher (London – visit the office 3 days a week) Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world’s largest tech & manufacturing brands The team are working on prototypes … in a relevant field (Statistics, Computer Science, etc.) – PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely more »

now seeking an experienced Bioinformatician to join their computational team. You will be an experienced Bioinformatician, with roots in maths and statistics. Exposure to machine learning tools will be advantageous but not a deal breaker. You’ll need to be well versed working with NGS data and developing … or industry experience post PhD Strong background in maths and statistics Experience working within Oncology Experience processing, analysing and interpreting NGS data Exposure to ML tools and frameworks eg Tensorflow, Pytorch Proficient programming skills (Ideally Python) Familiarity with standard software engineering tools (Jira, Git, CI/CD) Experience using workflow … soon as possible! Keywords: Bioinformatics/Bioinformatician/Data Scientist/Data Science/Computational biology/Computational biologist/Statistics/Maths/ML/Machine learning/Genomics/NGS/Next generation sequencing/Python/Cancer/Somatic/Oncology/Diagnostics/Product more »

edge analytics. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science … lead a team helping to formulate problems, extract, and prepare data, apply modelling, and then deploy the solution. Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science … experience with a track record of solving complex non-routine problems; along with expertise in some, if not all, of the following areas: Statistics, Machine Learning, Deep Learning & AI You will have significant experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature more »

MACHINE LEARNING ENGINEER REMOTE £70,000 - £90,000 COMPANY: We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses withing the property and real estate industry. They are looking for an experienced Machine Learning Engineer … as well as work closely with their clients. ROLE: You will be involved in implementing and fine tuning LLM's Designing, implementing and maintaining ML pipelines Define infrastructure requirements and architecture for Model Training and Inference Measure and review the performance of production models - Regularly conducting evaluation and tuning Collaborate more »

Founding Machine Learning Engineer - Fine Tuning Expertise required. USP's: An opportunity to be an integral Founding member of a future AI Unicorn Exceptional leadership in place Exceptional talent across the team, working with the brightest minds in AI, who have worked for the biggest names, who work … automated fine-tuning framework that can scale to the next order of magnitude of training runs. Experience in creating/managing HPC clusters for ML models and efficiently serving large ML models at scale is a huge bonus. Required Credentials: Master's degree as a minimum, ideally a PhD Released … a l eading AI research laboratory, or a pioneering AI business Key Requirements: Fine Tuning Expert Experience in creating and managing HPC clusters for ML models Experience in efficiently serving large ML models at scale Experience serving LLM models at scale Able to produce and refine large-scale ML systems 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 »

AI/Machine Learning Engineer – 6 months - £600 p/d (Outside IR35) AI/Machine Learning (ML) Engineer, with strong chunking and indexing algorithm experience, required by a leading ecommerce company to set the direction for LLMs. The right candidate will have strong commercial experience … of improving LLM performance whilst being an expert in the utilisation of vast amounts of data. Key requirements Strong experience as an AI/ML Engineer Excellent commercial experience with LLM’s particularly Chat GPT and Llama Experience with data chunking and indexing for AI pipeline. Python skills Relevant degree … or post-graduate degree in AI, ML or related field Duration: Initial 6-month Rate: £600 p/d (Outside IR35) Location: London (hybrid more »

Founding Machine Learning Engineer with expertise in LLM Founding MLE required for a AI safety and research company. USP's: An opportunity to be an integral Founding member of a future AI Unicorn Exceptional leadership in place Exceptional talent across the team, working with the brightest minds in … the world's leading VC firms to help them build one of their hottest future AI Unicorn businesses building cutting-edge LLM. The Founding Machine Learning Engineer will be influential in steering the product development, technical success, overall growth, and mainly the culture of a future AI Unicorn … Key Requirements: Python and PyTorch expertise Experience in SLURM, Ray, or similar Graphics Processing Units (GPUs) Experience in creating and managing HPC clusters for ML models Experience in efficiently serving large ML models at scale Experience serving LLM models at scale Able to produce and refine large-scale ML systems more »

heroes who will positively shape our future.What are the day-to-day tasks?Design and develop AI models and solutions using Azure OpenAI, 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 … Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows 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 … C#, or Java, with a deep understanding of software development principles.Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning more »