151 to 175 of 835 Permanent Machine Learning Jobs in England

Lead Machine Learning Engineer Paying between £100,000-£140,000 + stock options Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting-edge Bio-Tech AI Start-up, who are currently hiring … leverage microscopy data and genomics to drive transformative discoveries. As the Lead Machine Learning Engineer, you will be responsible for leading the ML team for creating and implementing the computer vision and other machine learning models for cell prediction. You will also play a crucial role … or AI-bio company, with a focus on taking models from concept to production. Previous experience taking the technical lead of a team of ML engineers. Strong background in computer vision ML models and using modern frameworks for deploying these models. Proficient in Python, and familiar with deep learning more »

Our client is a leading fintech company dedicated to revolutionizing the financial services industry. They leverage advanced analytics, machine learning, and cutting-edge technology to deliver innovative financial solutions to their clients. Their mission is to make financial services more accessible, efficient, and personalised. Job Description: We are … behalf of our client. This is a hybrid role based in the UK. The ideal candidate will have a strong background in data science, machine learning, and statistical modelling, with a proven track record of driving impactful business outcomes in the fintech space. As a Senior Data Scientist … and collaborate with cross-functional teams to develop and implement advanced analytics solutions. Key Responsibilities: 1. Lead Data Science Projects: Design, develop, and deploy machine learning models and algorithms to solve complex business problems. Manage end-to-end data science projects, from data collection and pre-processing to 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 »

rapidly growing software company of around 20 people based near Oxford & Bicester with an office in White City, London. We are leaders in developing Machine Learning & Digital Twin software for the Aerospace, Defence and Urban Air Mobility sectors. This role is a rare opportunity to join an expanding … D projects where decisions can have a significant impact on project outcomes. You will be responsible for a wide variety of software engineering, including machine learning, digital twins and embedded software in the complete operation of autonomous drones, from logistics, drone setup and testing, mission configuration, launch, asset … of the software team in addition to leading it with your soft skills. This work will include software engineering using C++ on Linux for Machine Learning and Digital Twins, which operate on a range of drone assets, along with HTML5/JavaScript UI work as required. Requirements: You more »

role requires a mix of technical skills, legal industry knowledge, and project management. Core Responsibilities Innovation: Develop and deploy legal tech solutions using AI, machine learning, and data analytics to improve efficiency and service quality. Data Strategy: Collaborate with data governance and security teams to create a comprehensive … Experience Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Experience: Proven experience in data science, AI, or machine learning, preferably in a law firm or regulated environment. Industry Knowledge: Understanding of the legal industry is a plus. Technical Skills: Proficient in more »

and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation … ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. more »

Golang. Focusing on APIs, databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll more »

few years experience within data science with exposure to Data Engineering/ML. Job Responsibilities/Outline of job Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large and complex datasets Hands on/technical experience with Model development Communicate findings, recommendations, and … such as Python, SQL, Snowflake, dbt Ability to contribute to team efforts & work independently Strong Data Science understanding with exposure to Data Engineering/ML Strong understanding of ML Ops tools, algorithms, and techniques, with practical experience in applying them to real-world problems If you are interested in this more »

will still be considered with other cloud experience) Best practices in data management and SDLC. Work with Data Scientists to bring the AI/ML models into production Databricks for daily data processing Qualifications: Experience in data engineering and pipeline construction. GCP and familiarity with other cloud environments. Understanding of more »

sector as a VP of Data. THE ROLE As a VP, you will be responsible for: Steering the strategic direction of the Analytics and Machine Learning platform Supporting client delivery by providing actionable insights and recommendations to stakeholders Implementing data governance and security best practices Scaling and growing more »

Senior Machine Learning Engineer London, UK (2 days in office per week) Salary: £80,000 - £100,000 per annum + discretionary bonus Are you a seasoned Machine Learning Engineer with a passion for cutting-edge technologies? Do you want your work to have a direct impact … now! Key Responsibilities As a Senior Machine Learning Engineer, you will: Leverage your minimum 5 years of experience in the AI/ML space to lead the development and deployment of advanced machine learning models. Apply your expertise in regression modelling and time series modelling to … deploying and productionizing machine learning models. Strong programming skills in languages such as Python, R, or similar. Solid understanding of AI/ML technologies and trends. How to Apply: If you are an experienced Senior Machine Learning Engineer seeking a new challenge and believe you have more »

Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub … and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML more »

APIs, integrating external systems, and other tasks related to server-side development. Qualifications Quantitative finance experience in any asset class. Understanding of AI and ML techniques. Strong knowledge of Back-End Development, Software Development, and OOP principles Understanding of Front-End Development processes Proficiency in a programming language such as more »

aspirations. They provide a stable and supportive environment. They are looking for a Compute Library Engineer to develop and optimise high-performance kernels for ML operators on NPU architectures. They are looking for an exceptional engineer to join a talented team of 5 engineers at an exciting time of growth … a successful Compute Library Engineer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a Compute Library Engineer looking more »

Internet of Things, and Software. We are seeking a Python Developer to join our team and play a key role in developing and deploying machine learning models into production. You will leverage your expertise in Python, FastAPI, and cloud platforms (AWS, GCP, Azure) to design, develop, and maintain … for containerization and orchestration of applications. Deploy, monitor, and manage applications on cloud platforms such as AWS, GCP, and Azure. Develop and fine-tune machine learning models, with a focus on state-of-the-art techniques and LLMs. Implement Retrieval-Augmented Generation (RAG) for enhanced information retrieval and … processing. Collaborate with data scientists and other team members to integrate machine learning models into production systems. Stay up-to-date with the latest industry trends and advancements in machine learning and AI technologies. Perform code reviews, mentor junior developers, and contribute to the overall improvement more »

generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of our combined more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

their Data and Analytics team as the CEO has realised how important Data and Technology are to the business and is investing further in Machine Learning variables. THE ROLE You will be joining an expanding Data and Analytics team, which currently has more than 20 employees. You will more »

with a high-calibre team in place. Your responsibilities as an NLP Engineer/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 more »

Emerging Technologies - Ai, ML, Data, Automation, Clean Tech (Wind, Solar, EV, Autonomous Vehicles, Battery Storages) US, EMEA market, UK Hours, Hybrid working, No Threshold (Comms paid up to 35% over £20k per month billing) About? This agency is part of the world’s largest, leading recruitment agency and they pride more »

domains by applying your technical, analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machine learning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. … improvement and maintenance for industrialised solutions. Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science Responsibilities Design, implement and deliver complex pieces of research in the area of computational molecular physics …/biology. Implement and test pioneering enhanced sampling methods and free energy calculation techniques that leverage and supplement machine learning approaches. Communicate and collaborate with research engineers in a multi-functional team to integrate simulation-based solutions into drug discovery platforms and ensure they are robust, maintainable and more »

Strong proficiency using Python and attached libraries. Experience in data manipulation and analysis using relevant libraries and frameworks. Solid understanding of statistical concepts and machine learning techniques. Proficiency in data visualization tools and techniques to effectively communicate insights. Experience with database querying languages (e.g., SQL) and working with more »

data science libraries communication skills with the ability to work with all areas of the business from technical staff to non-technical team members. ML concepts to weather analytics. with C++ or Rust – Advantageous * You must be eligible to work in the UK without requiring sponsorship* Not quite right for more »

are sold to tier 1 and tier 2 insurers globally. Their software and enterprise products leverage SaaS, Cloud, Data Management, Analytics as well as Machine Learning and AI and is built with Angular front end, with C# .NET Core Microservices hosted on Azure. They are now looking for more »

this opportunity, you will be pro-active in your approach, adaptable and able to demonstrate that you have: Experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI High proficiency in one or more programming languages (Python preferred) A track record of writing academic publications … Excellent written and verbal communication skills The following skills are optional but desirable: Large scale/parallel computing Multi-modal or explainable machine learning methods Working with knowledge graphs and graph databases Our client welcomes all applicants: We want the best people on our team, so we welcome more »