1 to 25 of 1,107 Machine Learning Jobs in the UK

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 more »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

Data Science & ML Consultant Location : Manchester – 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 … pitching data science projects. Required Skills/Experience : • British Passport Holder with active DV (Developed Vetting Clearance) • Hands-on experience applying data science/machine learning in Defence/Security, public sector, or academia. • Understanding various machine learning models: Transformers, CNNs, regression, vector embeddings. • Ability to more »

implement automated solutions to streamline and optimise our AWS environment. We mainly use CloudFormation and Python to define and deploy our infrastructure as code. Machine learning infrastructure: Collaborate with data scientists and machine learning engineers to design and automate machine learning infrastructure pipelines. Implement … designs, and troubleshooting steps to create a knowledge base for the team. Share knowledge and collaborate with team members to foster a culture of learning and innovation. Qualifications 3+ years of AWS platform engineering experience Passion for AWS and cloud technologies: Strong enthusiasm for working with AWS and staying more »

Cloud Functions Cloud Storage Pub/Sub IAM Management Looker Data Studio Coding experience with Python/Javascript/C# Familiarity with statistical/machine learning/AI concepts and techniques Understanding of data pipeline/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. more »

demands, knowing when and how to prioritize tasks. Experience with scripting languages such as PowerShell or Python, and a strong understanding of AI/ML libraries and frameworks, e.g.TensorFlow or PyTorch. Strong enthusiasm for Machine Learning, Cognitive Services, and innovative AI technologies (ChatGPT, LangChain, Hugging Face, etc), including more »

role, you must have experience of selling a SaaS/Software solution into the enterprise retail marketplace, securing meetings/demos* This cutting-edge ML tech company is seeking a driven and entrepreneurial individual to join their newly formed commercial department. As the very first Business Development Representative (BDR), it … or similar CRM software. Positive attitude, strong work ethic, and self-sufficiency. Exceptional problem-solving skills and attention to detail. Familiarity with AI/ML and RetailTech products. If you are passionate about cutting-edge technology, possess a strong sales background, and thrive in a dynamic start-up environment in more »

Responsibilities: 1. Conduct cutting-edge research in machine learning, with a focus on addressing real-world challenges and industry-specific problems. 2. Collaborate with academic institutions, industry partners, and research organizations in London to foster collaboration and leverage resources. 3. Stay informed about the local machine learning ecosystem, attend conferences, meetups, and workshops to network with other researchers and professionals. 4. Apply machine learning techniques to diverse domains such as finance, healthcare, cybersecurity, or transportation, depending on the focus of the organization. 5. Stay up-to-date with the regulatory landscape in London and … ensure compliance with data protection and privacy standards when handling sensitive data. Qualifications: 1. Strong academic background with a Ph.D. in machine learning, computer science, or a related field from a reputable institution. 2. Proven track record of publishing research papers in top-tier conferences or journals. 3. 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 »

modelling of NPUs, CPUs, or GPUs Excellent collaboration skills Outstanding written and verbal communications Preferred Qualifications Knowledge of Machine Learning concepts and ML hardware accelerators Prior experience in simulator development Proficiency in computer/SoC architecture and performance trade-offs Knowledge of a system modelling/simulation technology more »

cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey. Interested? Please apply with your CV and/ more »

will require this individual to work in collaboration with our Threat Operations team to create and deploy new detection mechanisms using traditional analytics and machine learning techniques. We require a rounded knowledge of cyber security and incident response; hence the successful candidate will come with a level of more »

leading innovation and integrating security for all the major attack surfaces to best protect data and businesses. Our Autonomous Integrated Cloud Security uses strategic machine learning to identify and stop threats that enter an organisation by email, web or cloud or from a multi-channel cyberattack. This means more »

Senior) Engineering Manager – Data & ML Global AXA XL recognizes digital, data and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities. Data Science and Applied AI assets should not only be high quality, but also drive a sustained competitive advantage and … on the use of data and strengthen our digital, AI capabilities, we are seeking an Engineering Manager/Senior Engineering Manager for Data and ML applications. In this role you will be accountable for developer success in adopting engineering best practice and enterprise standards across the value chain of data … science applications – from data engineering to ML operations (training, serving, monitoring), and microservice/web application engineering. Our tech stack: Azure Data Lake, Azure Databricks (Notebooks, APIs, Workflows), MLflow, dbt, Harness CI/CD, OpenShift, Docker, GitHub, JIRA DISCOVER your opportunity What will your essential responsibilities include? · Set engineering standards more »

ML Systems Performance Analysis - AI Accelerator I am seeking someone experienced in Systems Performance Analysis, specifically using performance simulators to develop benchmarks and to analyse and identify bottlenecks in NPUs/AI Accelerators. Must be able to work closely with HW and SW teams to provide optimisation recommendations by understanding … performance opportunities on current processor architecture. Based in Cambridge on a hybrid basis. Primary Responsibilities Using ML models to carry out performance analysis on NPUs. Working closely with the modelling and performance teams utilising the simulator for NPU performance analysis. Pinpointing problems in the HW/problems in the compiler … performance analysis for NPUs/GPUs. Understanding of NPU (neural processing unit) hardware and software. Strong knowledge of CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at NPU, GPU, semiconductor manufacturers. What’s on offer Competitive more »

delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About The Team Our voice and edge machine learning team at Roku works on embedded machine learning models for new products. The team covers a range of skillsets from … embedded firmware development and machine learning to quality assurance and data engineering. We build, deploy, and maintain embedded machine learning models to enhance the user experience across our hardware products. We frequently work on new product launches to deliver cutting edge new features such as handsfree … pro. What you’ll be doing We are looking for a senior software engineer with extensive experience in embedded software for voice and edge machine learning applications. This is a senior role with a high-level of visibility and you must have a proven track record of developing more »

experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. Responsibilities: Experience working with Data Scientists to understand ML models and translate them into robust … scalable production code using Python and tools like TensorFlow. Build and maintain ML pipeline architecture for activities including data ingestion, model training/retraining, evaluation, and deployment. Leverage cloud platforms (GCP) to create ML workflow orchestration and integrate with production systems, Vertex AI. Monitor and maintain ML systems in production … implement improvements. Define software engineering standards for building, documenting, testing and deploying machine learning code. Stay up-to-date with advancements in ML ops and DevOps for machine learning systems. Requirements: 3+ years’ experience building and deploying machine learning systems. Expert in Python. Knowledge more »

Senior Machine Learning Engineer Currently looking for a Senior Machine Learning Engineer to join a leading, online UK fashion/retail brand on a contract basis! Incredibly comfortable working with Python. Work in cross-functional teams combining data science, data engineering, BI, machine learning … management. Implement and deploy machine learning models at scale. Understanding of NLP Experience with LLM (Large Language Models) Previous experience product-ionising ML models x2 Stage interview process. Rate :: £800/day (Outside) Length :: 6 Months Location :: UK (Must be based in the UK) Start Date :: ASAP more »

Lead Machine Learning Engineer - Full Time On behalf of our Biotech client, we are recruiting for a Lead Machine Learning Engineer. This position has come live due to company growth and the client is looking for a highly technical Machine Learning expert to join … them who have experience with the following... Proven Leadership experience in a highly technical environment Extensive Python experience skilled with deep learning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program more »

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 »

a leading Marketing Consultancy on a Senior Data Scientist role. You will be working with an established team of Data Scientists on commercially driven Machine Learning models. ROLE: Work closely with a team of Data Scientists to design and build Machine Learning models around Pricing, Propensity … on ROI and added value. Work closely with the Engineering team and business leaders to define project scope and requirements REQUIREMENTS: Proven background in Machine Learning, specifically in the modelling techniques mentioned above. Experience in customer driven modelling with clear evidence of commercial impact and value. Strong communication more »

a wide variety of end clients. You will project lead lean teams of Data Scientists, collaborating closely with cross-functional teams to deliver innovative machine learning and AI solutions. You will need to apply hands on skills in coding and modelling as well as lead small yet agile … project teams of machine learning and AI experts. You’ll work with client’s senior leadership teams looking to achieve results FAST, therefore you need to be skilled in, and comfortable with, delivering the most impactful solution (even if not perfect) in short sprints. Naturally at this grade … and partnership with, in order to deliver best in class data science services. Skills & experience required: Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in data science, analytics, or a related field, with the ability more »

like Torque Management, Traction Management & Thermal Management. · Curious and Perpetual Learning mindset to be able to apply cutting edge technologies like AI/ML to influence Supervisory Management Control Strategies. · An individual with a Customer Focussed Mindset who can translate complex technical solutions into real world customer benefits. · An … software testing and quality metrics (coverage analysis, complexity analysis). · Experience with automotive communication protocols e.g. CAN/CAN FD/UDS. · Knowledge of machine learning and big data algorithms and implementations. Duties & Responsibilities Prepare technical roadmap for the subject area . Develop and design new functions. · Support … supervisory controller functions. · Provide ongoing assessment of software design processes and optimise changes as needed · Contribute to Advanced Research · Support advanced SW development including machine learning and big data features. · Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy. · Support more »

artificial intelligence principles and techniques Proficiency in programming languages commonly used in AI research, such as Python or TensorFlow Experience in developing and deploying machine learning models Familiarity with deep learning frameworks and methodologies Strong analytical and problem-solving skills Ability to thrive in a fast-paced more »

of any modern organisation and Aviva is no different. Our Data Engineering teams sits within Aviva’s Quantum Data Science Practise (covering areas including Machine Learning, Analytics, Data Engineering, AI, etc) but also services Claims, Pricing, Financial Crimes, Fraud and Underwriting with the data they need to provide more »