101 to 125 of 1,307 Permanent Machine Learning Jobs in the UK

Senior Machine Learning Engineer London office 1-2 days per week £80,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for a Senior Machine Learning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join a … strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer/Senior NLP/LLMs Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large … Language models and optimise them through applied Machine Learning. Collaborate with a strong team of Scientists/Engineers to deliver innovative and impactful work. YOUR SKILLS & EXPERIENCE A successful NLP Engineer/LLMs Engineer will have the following: Min. 4 years commercial experience in Natural Language Processing/NLP more »

Hurdle is excited to announce that we are looking for a new AI/Machine Learning Scientist ! This is a brand new role, which we are exceptionally delighted by. Hurdle is building bio-infrastructure that simplifies and accelerates access to biology for companies and consumers. Hurdle experts have … internal and external datasets. We want you to be excited with the capabilities and champion these to your peers. Responsibilities Helping to build a ML model to impute biomarker values based on internal and external datasets Help/support the company in other AI/ML related areas when required … AI/Machine Learning Preferred Skills and Experience Experience with AI/Machine learning is a MUST! Experience in building ML models Experience model running in production API An interest in Biomarker/Health/Biology Self starter and can-do attitude Ability to work in more »

Software Engineer Machine Learning - Remote - £120K One of our clients who are a leading technology company are seeking a Software Engineer that is an expert in Machine Learning. Offering remote working, must be located in the UK. You will have the opportunity to build machine learning … tackle challenges relating to uses recommendation, matching, content discovery and categorisation. Skills You will have worked as a Software Engineer with a focus on machine learning or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch … with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle more »

from different businesses in the financial domain currently not available anywhere else. Write production-ready code and work with tech teams to ensure your ML solution is deployable at scale across multiple lines of business. Develop products that can change how corporate and investment banking is done today. Research and … develop innovative ML based solutions to some of cross-functions and operations hardest problems. Build robust data science capabilities which can be scaled across multiple business use cases. Collaborate with software engineering teams to design, deploy, and maintain production-grade ML models that can be integrated with strategic systems. Research … or PhD in a quantitative or computational discipline Considerable commercial experience in line with a capable individual contributor; developing and deploying data science and ML capabilities in production at scale. Strong Python development and debugging skills. Capable to develop high quality reusable code that can be leveraged from a larger more »

Remote Salary Negotiable Key Skills: Python, NLP experience and deploying NLP systems The Senior NLP Engineer is responsible for developing AI Labs’ NLP/machine learning platform. In this role, they will write, test, and release code and internal libraries according to the NLP roadmap and release plans. … They will work collaboratively with the Head of Machine Learning Product, application engineering, data science and NLP Tech Lead to set the overall vision, goals, and execution plan. They will also be consulted by customer-facing project leads and data science in the analysis of customer data and … development of NLP models to address clinical or business use cases. Skills Machine Learning, Natural Language Processing (NLP), Deep Learning, building and deploying NLP systems Strong CS fundamentals including data structures, algorithms, and distributed systems Proficiency in statistical NLP algorithms, including transformers, graphical models, and information retrieval more »

Job DescriptionSoftware Engineer Machine Learning - Remote - £120KOne of our clients who are a leading technology company are seeking a Software Engineer that is an expert in Machine Learning.Offering remote working, must be located in the UK.You will have the opportunity to build machine learning models … well as tackle challenges relating to uses recommendation, matching, content discovery and categorisation.SkillsYou will have worked as a Software Engineer with a focus on machine learning or similar.Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch/… combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc.Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI.Support and drive implementation of features around NLP and LLMs.Tackle challenges related more »

Job DescriptionSenior Machine Learning EngineerLondon office 1-2 days per week£80,000 to £95,000 Salary + Bonus & BenefitsOVERVIEWA great opportunity for a Senior Machine Learning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech … scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer/Senior NLP/LLMs Engineer will include but not be limited to:Leverage Machine Learning/NLP techniques to build Large Language Models.Fine-tune Large Language models and … optimise them through applied Machine Learning.Collaborate with a strong team of Scientists/Engineers to deliver innovative and impactful work.YOUR SKILLS & EXPERIENCEA successful NLP Engineer/LLMs Engineer will have the following:Min. 4 years commercial experience in Natural Language Processing/NLP & ML.Strong coding skills in Python.Strong experience more »

technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of our machine learning operations.As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support the … deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance technology.Responsibilities:Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end … lifecycle of machine learning models.Develop automated pipelines for model training, testing, deployment, and monitoring.Establish best practices for versioning, reproducibility, and scalability in ML workflows.Collaborate with cross-functional teams to integrate ML models into production systems.Implement robust monitoring and alerting mechanisms to track model performance and health.Requirements:Bachelor's more »

innovation with us as we harness cutting-edge techniques and stay abreast of the latest Google updates. Role Description We're seeking a talented Machine Learning Specialist for a full-time remote position. As part of our team, you'll spearhead the development and implementation of machine learning algorithms aimed at dissecting website data and uncovering pivotal factors for optimizing search engine rankings. Your role will involve collaborating with diverse teams to gather and analyze data, construct predictive models, and fine-tune algorithms to elevate website performance. Dive into the realm of data preprocessing, feature … selection, model training, and performance assessment in your daily tasks. Qualifications Solid foundation in Computer Science, Machine Learning, and Statistics Proficiency in Deep Learning techniques and algorithmic methodologies Expertise in data preprocessing and feature selection methodologies Familiarity with optimization techniques for refining machine learning models more »

technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of our machine learning operations. As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support … the deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance technology. Responsibilities: Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end lifecycle of … machine learning models. Develop automated pipelines for model training, testing, deployment, and monitoring. Establish best practices for versioning, reproducibility, and scalability in ML workflows. Collaborate with cross-functional teams to integrate ML models into production systems. Implement robust monitoring and alerting mechanisms to track model performance and health. more »

for an MLOps Engineer to join the team. This role is instrumental in enabling HL to harness the full potential of Artificial Intelligence and Machine Learning allowing us to drive significant value to our clients … as well as ensuring that our data scientists can rapidly develop, deploy, and manage models at scale with reliability and efficiency. By streamlining the ML lifecycle, from experimentation to production, you will facilitate seamless collaboration between data scientists, developers, and IT operations, fostering an environment of innovation and driving significant … a new product within HL where you'll have the opportunity to build the roadmap and take ownership of how we leverage AI/ML at HL. What you'll be doing You will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive more »

Newly founded, AGITProp is an AI-driven quant research firm that is pushing the boundaries of algorithmic trading. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive and integrated approach. At AGITProp, we are leveraging the latest … from across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal … candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement more »

the last Series C funding round in January 2023. Your Team You will join a growing team of computer science and robotics experts leveraging machine learning, data and cloud infrastructure to build and deploy powerful on-vehicle reasoning capabilities. Your work will enable … Oxa Driver™ to plan and execute sophisticated, safe driving behaviours scalably across all of our customer domains. Your Role As our Senior Engineer (Reasoning ML), you will take a leading role within your team to research, develop and deploy machine learning models enabling new behavioural capabilities and improvements … product quality, customer experience, and maintainability. You Will Take a leading role within your team to research, develop and deploy state of the art machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles. Create and curate datasets for training and validation more »

scratch and create a powerful analytics engine fueled by cutting-edge technology and generative AI. You will be responsible for building, validating, and deploying machine learning models that drive our product's analytics engine. Operating in an Agile setting, you will be part of a cross functional team … Software Engineers, Product Owners and UX/UI Designers, to innovate and drive our product to new heights. Core Responsibilities: Build and deploy advanced machine learning models & design robust analytics engines for high-end digital products Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into … address objectives to business partners (both technical and non-technical audiences) Stay up-to-date with latest industry trends and advances in data science, machine learning and generative AI Actively contribute to a culture of transparency, learning, and innovation, promoting an open mindset across the organization Advocate more »

Our esteemed client, a leading hedge fund on a global scale, is currently in search of a Software Engineer with a specialisation in Machine Learning Infrastructure for their London office. This offers an enticing opportunity to work with cutting-edge technologies, focusing on the design and development of … frameworks for machine learning and tools for data science. This position is ideal for an engineer with a background in deploying machine learning models into real-world applications, rather than concentrating solely on model training. This role necessitates substantial proficiency in Kubernetes along with a strong … using Python for production use. Key Requirements: Demonstrated experience of at least 5 years as a Software Engineer, with a track record of deploying ML models into production. Bachelor's degree in Computer Science or a related field. Proficient in core technologies, particularly Kubernetes. Experience working with distributed systems. more »

Graduate Machine Learning Engineer – Machine Learning Engineer - IOT ML A Cambridge University spin-out are looking for Top-tier academic Graduate (or up to 5 years’ experience) developers to join their award-winning start-up. My client works within the IOT sector and you will have … the opportunity to use Machine Learning techniques to solve real-time problems! We are looking for candidates with; · A STEM degree from a Top-tier University · Strong programming skills (C/C++, Java, Javascript or Python) · Problem solving skills A strong salary and the opportunity to work alongside more »

Software Engineering role and will also require the ability to research and develop new solutions to complex problems. ILASP specialises in developing logic-based machine learning systems. Compared to other forms of machine learning, the main advantage of logic-based systems is that the learned concepts … explainable. We currently hold research contracts both with the UK military and with UK universities, in which we are leading research into logic-based machine learning and its applications. Our projects are diverse in nature, both in terms of their domains and in terms of the tools being … in meetings and demonstrations with customers. · Ensuring that deadlines for the deliverables of your projects are met. What we are looking for: Logic-based Machine Learning is a specialised area, and we do not necessarily expect previous experience in this area; much more important is your willingness to more »

and the wider team. You will be engaging senior stakeholders, planning and leading multiple projects relating to the ongoing development, maintenance and monitoring of machine learning models for Climate Change and Financial Crime. The role will require deep understanding of different machine learning techniques, and capability … relevant statistical techniques and adhering to current modelling standards and validation regulation. You will also support the wider Retail Financial Risk Modelling to embed machine learning into models. You’ll need to plan effectively and prioritise activities, to ensure your team are working on several business-critical activities … engage and communicate with the wider business on developments/enhancements and how they will impact business decisions. Coach and develop your team in machine learning modelling. About you To be successful in this role you will: Have experience in delivering innovative and creative data science/advanced more »

to the deployment of NLP/LLM's! Your day-to-day responsibilities will include: You will be responsible for designing, implementing, and maintaining Machine Learning Models to address business requirements. You will actively engage with software throughout the entire development lifecycle. You will conduct experiments with various … performance, and make informed solution selections. Conduct comprehensive work spanning the entire data lifecycle, including data exploration, data pipeline development, insights and feature extraction, machine learning model creation, and deployment. Collaborate on consulting-style pilot projects aimed at helping clients gain a deep understanding of their data and … identifying problems that can be addressed through the platform. Collaborate closely with data scientists and data engineers to construct and implement machine learning models. Take an active role in leading team meetings and client workshops. Assist in establishing software engineering standards for the machine learning engineering more »

Job DescriptionMachine Learning Infrastructure EngineerPermLondon office 4 days per week Can offer sponsorship and relocationUp to £200KA YC-based start-up building the next-generation of helpful and honest AI is looking for a Machine Learning Infrastructure Engineer to join their founding team.They are looking for people … with skills directly linked to creating and managing high-performance computing (HPC) clusters across GPU/TPU chips + serving large machine learning models at scale. Not 1-10 GPU's but 1000's. You will also set up the hardware/infrastructure/the physical clusters that … allow the training models to train on.The role:Develop the core inference engine used to serve large machine learning models.Contribute significantly to the internal automated pipeline enabling high throughput training runs and rapid experimentation.Collaborate in defining and steering their evolving inference and training stack working with researchers, founders more »

In this role, you will play a pivotal role in designing, implementing, and maintaining the robust infrastructure required to power their advanced AI and machine learning workflows. Collaborating closely with their multidisciplinary team, you will contribute to building scalable, resilient, and distributed systems that drive the success of … clean, efficient code in Python for various components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine … required for this exciting opportunity, please submit your CV today! Keywords: AI Engineer, AI Infrastructure Engineer, Python, PostgreSQL, Blockchain, RabbitMQ, Cassandra, AI, Artificial Intelligence, ML, Machine Learning, LLM BeTechnology Group Limited is acting as an Employment Agency in relation to this vacancy. more »

Lead Machine Learning Engineer - ClimateTech start-up 🌍 I'm looking for a ML Engineer with experience building software products and leading a small team for a very promising ClimateTech start-up. 💵 Salary: as the company are so early stage they are flexible but approx. £100k + equity. Please … very positive signs of success 🎉 The team currently consists of the two founders, a software engineering consultant, a mid-level Ruby Engineer and an ML research scientist. You'll join as the Lead Machine Learning Engineer with scope to become the CTO if this is a route you … if not, that's ok too!) 📈 Here's what you need: A senior level of experience as a full-stack software engineer with strong ML skills or an ML Engineer with software engineering skills An ability to drive much of the overall architecture work Be involved in data engineering work more »

looking for a Senior Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal … discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible … with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify enrichment opportunities and strategies. Work with more »

as fertility, pregnancy and menopause. This is a fully remote position and the salary is between 50-75k. They are looking for a Machine Learning engineer who can lead the company’s AI R&D to leverage cutting edge research and incorporate emerging technologies into their NLP … and conversational AI solutions Essential skills 4+ years of industry experience in developing Machine Learning models and maintaining them in a production environment Solid understanding of Machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning and reinforcement learning. Experience with NLP … attention mechanism, transformer technologies etc.) Experience in deploying NLP pipelines to production Python experience including data science libraries (scikit-learn, pandas, NumPy) and deep learning frameworks (Tensorflow, Pytorch) Desirable Experience with virtual agent platforms such as IBM Watson or DialogFlow Team leading experience Proven experience in CI environments, unit more »

Job DescriptionGraduate Machine Learning Engineer – Machine Learning Engineer - IOT MLA Cambridge University spin-out are looking for Top-tier academic Graduate (or up to 5 years’ experience) developers to join their award-winning start-up.My client works within the IOT sector and you will have the … opportunity to use Machine Learning techniques to solve real-time problems! We are looking for candidates with;· A STEM degree from a Top-tier University· Strong programming skills (C/C++, Java, Javascript or Python)· Problem solving skillsA strong salary and the opportunity to work alongside some of more »