26 to 50 of 851 Machine Learning Jobs in England

Data Science & ML Consultant Location: London – Hybrid Employment: Full Time All applicants must hold a DV (Developed Vetting) clearance to apply. The Opportunity: For the Ministry of Defence (MOD), maintaining national security is a 24-hour-a-day, 365-day-a-year mission. For this reason, it partners with this … Big 4 Firm to support its multidisciplinary Data Science and Machine Learning team within DSSV (Data Science, Simulation and Visualisation). The Teams work together to drive innovation and insight from data, using cutting-edge Data Science and Machine Learning techniques alongside Digital Transformation to solve … of LinkedIn's top five workplaces in 2024, please use the link below or contact us directly for more information. Contact: 02077806706 Data Science & ML Consultant more »

transformative discoveries. As a Machine Learning Engineer, you will be an integral part of the Machine Learning team, taking the ML models and bringing them into production, working as part of a cross-functional division. They are looking for someone with solid knowledge of ML models … for computer vision and an understanding of modern ML frameworks to deploy these models into the production environment. Requirements 2/3+ years as a Machine Learning Engineer within real-world data environment, working as an end-to-end ML engineer. Solid knowledge of ML models for computer … vision, and an understanding of modern ML frameworks to deploy these models into the production environment. Experience of Python programming, ML frameworks such as PyTorch. Expertise with cloud infrastructure (GCP, AWS or Azure) If you’re interested in this role, please apply through the advert to find out more! Machine more »

Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client … opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components … understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills more »

active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious … opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components … of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills more »

the development and implementation of machine learning models that enhance the firm’s data analysis capabilities. You will manage a team of ML Engineers and Data Scientists, working closely with various departments to integrate advanced data-driven solutions that drive business insights and operational efficiencies. Key Responsibilities: Lead … cloud-based machine learning and data storage solutions. Oversee cloud infrastructure and ensure robust, scalable solutions. Manage and mentor a team of ML Engineers and Data Scientists. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Stay updated with the latest advancements … years of industry experience in a related role. Experience working in a start-up or small team environment. Proven experience managing teams of ML Engineers and Data Scientists. Strong technical proficiency in Python, SQL, and Excel. Experience with data visualization tools such as PowerBI or Tableau. Familiarity with web development more »

at home and 2 days in the office, working core hours Monday to Friday. As a DevOps/MLOps Engineer you will be operationalising machine learning effectively. You will support the architectural needs of their Data Science team to ensure the seamless deployment, monitoring, and maintenance of machine learning models and data pipelines. You will work in close collaboration with the Data Science team to design and implement scalable and reliable infrastructure for machine learning model deployment and data processing. The successful candidate will deploy machine learning models and data pipelines to … and alerting systems to ensure optimal performance and reliability. In this position, you will develop and maintain automation scripts and tools to streamline the machine learning model deployment process and ensure reproducibility. The DevOps/MLOps Engineer will implement security best practices and ensure compliance with relevant data more »

the power of cutting-edge machine learning technologies to decode the mysteries hidden within cell culture experiments. You'll be building advanced ML models that seamlessly integrate internal and external data sources, weaving together algorithms that paint a vivid picture of what lies beneath the surface. But it … interpretation of cell culture experimental assay outcomes You’ll be hands on applying and developing artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) on our research data sets (e.g. Cell culture, DoE, media formulation, bioprocess parameter optimisation … sources You’ll update and report relevant results to interdisciplinary project teams and stakeholders – a master of knowledge sharing on statistical and AI/ML methodologies You’ll obviously maintain a keen awareness of recent developments in data science and state-of-the-art of AI/ML/DL more »

Machine Learning Specialist | Bristol (1x Week) | £60,000 + Benefits Exciting opportunity to join a rapidly growing scale-up in Bristol as a Machine Learning Specialist. In this role, you'll be at the forefront of our data and AI initiatives, driving innovation and delivering valuable … insights. Collaborating closely with the small and growing team you'll craft and deploy cutting-edge machine learning solutions to enhance our platform's performance. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Strong proficiency in programming languages commonly used in … setting. Passion for exploring new technologies and driving innovation in the field of machine learning. Experience with Speech Recognition, NLP, or other advanced ML applications is desirable. Benefits: Discretionary bonus (typically 7-10%). Flexibility with working in the office (1x week). Free breakfast bar. Apply below or more »

Machine Learning Engineer - MedTech - London - Hybrid Do you want to develop AI that prevents critical diseases as Machine Learning Engineer ? You can make a real difference in healthcare! A Machine Learning Engineer is needed to join a rapidly growing team at a leading MedTech … firm. The company specialises in AI-powered predictive analysis, developing groundbreaking tools to prevent critical diseases. In this Machine Learning Engineer role, you will: Build and deploy AI models to predict and prevent critical diseases Collaborate with engineers and scientists to develop cutting-edge solutions Continuously learn and … deep learning techniques Be an integral part of a growing team (20 to 40 people in 12 months!) Tech skills needed for this ML engineering role: Deep Neural Networks (DNN) Generative Adversarial Networks Deep Learning Define, evaluate and assess AI systems performance Explore and implement state-of-the more »

Job Title: Machine Learning (ML) Engineer Location: Hybrid (with travel to Manchester and London) Employment Type: Permanent Salary: Up to £65,000 per annum plus equity About the Company: Our client is an innovative AI startup operating in the Insurtech sector, focusing on the smart contract parametric insurance … landscape. Recently funded and on the path to rapid, scalable growth, they are looking for a talented ML Engineer to join their team and contribute to their journey. Role Overview: As an ML Engineer, you will play a critical role in developing and implementing machine learning models to … and optimise data pipelines Implement data governance and data management best practices Work with AWS tools, including Glue and SageMaker, to build and scale ML solutions Ensure the scalability and performance of machine learning solutions Participate in code reviews and contribute to the improvement of the development processes more »

Senior Machine Learning Engineer Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA Approved Umbrella) Location: London (3 days onsite a week) Are you a Senior Machine Learning Engineer looking for a challenge working with a Global Marketing Agency? The Senior Machine Learning … have the chance to collaborate with large technical teams and work in a fast past, forward thinking mindset. We’re looking for the Senior ML Engineer to be involved in their ongoing and upcoming projects which will take you past the initial 3-month period. The Senior Machine Learning … If you’re interested in this contract opportunity then please let reach out to me! Experience needed for this position (Please read carefully) Senior Machine Learning Engineer with over 5+ years of experience Python experience SQL experience AWS Redshift experience Predictive Modelling Clear and concise communication skills Senior more »

Centre of Excellence - Remote - United Kingdom Role Overview: The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and large language model (LLM) solutions. These solutions will leverage structured and unstructured data to automate workflows and revolutionize service delivery. The role aims to … the company into a technology-driven powerhouse by fostering innovation and driving business growth. Key Responsibilities: Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with overall business objectives and tech enablement goals. Build and lead a high-performing, cross-functional team of … ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions into impactful projects. Ensure data security more »

serves clients in 20 countries across four continents and has 7,000 employees worldwide. Key responsibilities Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with the company's overall business objectives and tech enablement goals. - Build and lead a high-performing, cross … functional team of ML engineers, data scientists, and domain experts, fostering a collaborative and innovative culture. - Evaluate and select the appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges and drive automation across various service lines. - Collaborate closely with stakeholders, including the CTO, CEO … SVP of Legal Services, Product Management, and Development teams, to identify opportunities for ML and LLM integration and drive impactful projects. - Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, EU AI legislation) by designing robust data governance frameworks and embedding ethical AI principles into all solutions. - Oversee more »

Leading ecommerce client now requires a Data Engineer to join their innovative Machine Learning team. This role will focus on increasing overall data efficiency using Machine Leaning, streamlining data processes to increase overall profitability, and ensuring our clients operations and customer teams … can increase overall value. They are searching for someone with strong exposure to Machine learning principles/practices and technologies such as ML flow/Sage Maker. The role: Develop robust and scalable data pipelines. Collaborate with cross-functional teams to develop and deploy Machine Learning models and algorithms to solve business challenges and create opportunities. Contribute to the development of our clients in-house Machine Learning operations framework. Support the data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on more »

Data Scientist to join a growing team where you will be designing end-to-end solutions; from data ingestion and processing, to running predictive ML models, and serving outputs for consumption by the business. RESPONSIBILITIES Designing Machine learning models to be applied to financial market products. Working within … a team of Data Scientists, Machine Learning Engineers, and Investment Analysts to add value to key stakeholders. Be a key part of the strategy for multi-million pound decisions! REQUIREMENTS Masters/PhD degree in Computer Science or STEM subject Commercial Data Science experience Knowledge of statistics and … provided for this role For more information, please apply here or send an up-to-date CV to morgan.beck@xcede.com Machine Learning, ML, Statistics, Python, SQL, Finance, Investment, Predictive modelling, Engineering, Financial modelling more »

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in … business requirements and the type of attention to detail that ensures thoroughness in product deployments. Responsibilities and expertise will be in the field of ML and AI model deployment, monitoring, integration across the tech stack and making best use of data-focussed compute resources. Diversity is incredibly important to us. … maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment … analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full … closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos 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 »

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 »

field ** OVERVIEW One of the most established and innovative Machine Learning Research Labs in the UK are hiring for an AI/ML Researcher. This innovation hub sits within one of the world's largest tech & manufacturing brands and is a great career opportunity for an AI Researcher … as an AI/Machine Learning Researcher will include but not be limited to: Work within a strong team of AI/ML Researchers, on prototypes that will ultimately make a huge impact on the business. Explaining key research projects and concepts to internal business stakeholders. Deliver cutting … edge AI/ML resarch work within a strong team to drive innovation within the company. YOUR SKILLS & EXPERIENCE Strong academic background in a relevant field (Statistics, Computer Science, etc.) - PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of AI , machine learning more »

from sub-second latency functions to longer-running batch computer and higher-demand dedicated instances. Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They … Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data processing pipelines, both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacks Shape the … ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic à task) Proactively identify blockers across the team, help promptly and effectively to unblock them Bring seniority and pragmatism to every more »

Our clients in the Pharmaceutical Manufacturing industry are looking for a motivated Machine Learning Operations Engineer to join their UK team. As a Machine Learning Engineer, you will play a crucial role in taking AI models from scientific research to production, ensuring seamless integration and scalability. … skillset of our existing team by sharing best practices, conducting workshops, and fostering a culture of continuous learning. Infrastructure as Code (IaC) with Azure ML and Terraform: Leverage Azure Machine Learning services and Terraform to build scalable and reproducible ML infrastructure. Automate deployment, configuration, and management of ML … Qualifications: 5+ years' experience as a Machine Learning Engineer Proven experience using Azure and Terraform to build, deploy, and manage high-quality ML models Must be well-versed in Infrastructure as Code (IaC) Experience implementing the core principles of ML Ops: Version control, automation, continuous X and model more »

practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the constraints that … Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience … environments Proficiency with at least one the languages such as C++, Java, Scala or Python Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure more »

We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable machine learning models. As part of … your role, you will be responsible for developing, maintaining, and expanding platform(s) that enable data scientists to deploy their machine learning models with ease. What will you do as a Lead Machine Learning Engineer at N Brown? Lead a team of engineers to create, maintain … equally convey business needs effectively to technical audiences. Knowledge in working with at least one cloud platform AWS (SageMaker), GCP (Vertex AI), Azure (Azure ML). A growth mindset - Ability to assess the value Machine Learning brings to the business. An excellent understanding of object-oriented programming (in more »

Senior Machine Learning Engineer Paying up to £110,000 Hybrid in London High-performing AI Start-up La Fosse is currently working with a cutting-edge artificial intelligence and cyber security start-up company specialising in AI for binary analysis, who are looking to hire a talented Senior … language model (LLM) binary code embeddings and research new methods using graph-based models for segment classification. Key Responsibilities: Implement state-of-the-art ML techniques and integrate them into our product pipeline. Develop and refine foundational LLM binary code embeddings. Research and innovate new methods using graph-based models … Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML pipelines and deploying AI models to cloud service providers is preferred. Ideally 3-5 years experience in a similar role. If this role sounds of more »