76 to 100 of 624 Machine Learning Jobs in the UK excluding London

advanced analytics supporting our Healthcare insurance business. As the insurance industry evolves in a technologically dynamic age, Aviva is strategically investing in data science, machine learning, and advanced analytics as a distinctive capability. A bit about the job: In this role, you'll play a vital role in … align seamlessly with the objectives of each team. You will also be closely collaborating with data scientists and engineers to deploy, monitor and maintain ML models in production, as well as implement best practices for continuous integration, testing and deployment of ML models. As a leader in this domain, you … learning model development and deployment. Excellent communication and teamwork skills, capable of collaborating effectively with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge more »

in coding in Python and have proven experience in machine learning/deep learning. You’ll have the skills to build scalable ML applications by yourself and deploy these applications in the cloud as a service. It’s not for everyone. Because of our speed and growth, it … on a hybrid working arrangement. What we are looking for: Approx. 3+ years industry experience in software engineering Solid software design principles Understanding of machine learning Knowledge of common software engineering best practices e.g. test-driven development, version control, CI/CD, containerisation Strong Python skills, including production … with at least one common cloud provider (AWS, GCP, Azure) Desirable: Experience in AI-focused software development, especially with LLMs. Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow What we offer: A competitive salary Full-time employment subject to a probation period. An office location in Bristol more »

projects alone or with other data scientists, using analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers … and business experts to scope and design the most effective and appropriate offers to solve their problems. Current and past tasks range from using machine learning to extract causality for road collision severity, to visualising and mapping insights; using computer vision AI techniques to extract information from raster … communication skills with the ability to tell compelling stories and adjust style to suit clients/stakeholders with varied technical knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related more »

Join us in pushing the boundaries in Conversational AI. As a Machine Learning Engineer, you'll be at the forefront of shaping … tomorrow's intelligent systems, optimising and deploying code for our cutting-edge Language models (LLMs) with a relentless focus on pioneering new features and ML pipelines. Build our state-of-the-art RAG system, where custom ML solutions are at the heart of the project. Embark on the journey of … efficiency of AI-driven conversations# We would love to talk to anyone with a strong Python and AWS background who has focused on productising Machine Learning Solutions. more »

venture-backed by 8VC, revenue-generating, and have multiple years of runway.Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point.This involves:Building edge applications processing vision data and communication layers for the compute-constrained edge devices.Deploying … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch).High intrinsic motivation to succeed and ability to work hard. What we offer £80-120k base Company equity % in an more »

Position: Machine Learning Engineer Key Responsibilities: Prototype, build, and implement new AI approaches as part of a wider team Intergrate and deploy ML Models into main environement Contribute to a data-driven decision-making process Collaborate with a small, dynamic team in an R&D environment Requirements: Strong … solving Proficiency in data science, including handling large datasets, modeling, and evaluation Understanding of software engineering concepts, especially best practices within development Experience with machine learning Python frameworks like PyTorch, Tensorflow, and Scikit-Learn Desirable Skills for Senior Candidates: Familiarity with related academic fields such as NLP, Computer … Vision, or Deep Learning Demonstrable industry experience with significant impact in a commercial setting Experince with cloud technologies, especially AWS Strong Python more »

roles. Partner closely with C-Suite management to present project/product results Help drive end to end data science and implement AI/Machine Learning Ensuring that all data science deliverables meet the highest standards of quality, accuracy, reliability and implement rigorous testing and validation processes to … pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a more »

developing and implementing AI solutions to enhance our market research capabilities. You will work closely with cross-functional teams to design, build, and deploy machine learning models and algorithms that extract valuable insights from large datasets. The ideal candidate is passionate about leveraging AI and data science techniques … to solve complex problems and drive business growth.What the Successful AI Engineer will have:2+ years experience as a Machine Learning Engineer or AI Engineer.Proven experience (2 years) in developing and deploying machine learning models and algorithms.Strong proficiency in programming languages such as Python, R, or more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »

software, ready to be rolled out and implemented by a Sales focused Cloud Architect with an ability to secure UK eDV security clearance. With Machine Learning techniques, Encryption and Big Data tools, this firm have solved a critical privacy issue that will benefit National Security and Intelligence clients … and scalable solutions. Experience within government and consultative selling of B2B software Demonstrable experience working with Privacy technologies such as homomorphic encryption, SMPC, Federated Learning, TEE. Any prior experience with Data management or tooling hugely beneficia (Data Lakes, Snowflake or Databricks). Experience working closely with engineering teams (particularly … those working on Machine Learning and Cryptography products). Ability to deliver product presentations, and showcase software whilst leading pre-sales activities. Product experience with privacy-enhancing technologies, data analysis, data management, and machine learning techniques. Experience leading pre-sales activities and managing RFPs/RFIs more »

have a passion for exploring cutting-edge techniques in computer vision, with strong skills in Python (C++ proficiency is a plus) and experience with machine learning frameworks such as TensorFlow or PyTorch. This role will involve conducting research and developing advanced computer vision algorithms and models, with a … camera environments. Requirements: Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning (beneficial) Strong programming skills in Python; proficiency in C++ is a plus Experience with machine learning frameworks such as TensorFlow more »

the aggregate. You will be responsible for analysing aggregate data across all historic studies, to uncover industry-leading insights through thoughtful data investigations and machine learning algorithms.Our roadmap is ambitious and far-reaching, but manageable. You will be working on projects that you can be proud of and … will have a significant and meaningful impact in the business.ABOUT YOU:We are looking for a hands-on and proactive senior machine learning engineer with a focus on traditional algorithms and an appetite to explore more modern integrations. You will be comfortable taking ownership of projects from inception … setting expectations.WHY JOIN:You’ll be at the forefront of innovation shaping a fast-growing industry 🔥Salary of £80,000 - £105,000 💸The best machine to do your work: a spec’d-out Macbook Pro 💻Share options so you benefit from our success 🚀28 days paid holiday plus bank more »

C funding round in January 2023. Your Team MetaDriver is a suite of tools that combines generative AI, digital twins and simulation to accelerate machine learning and testing of self-driving technology before and during real-world use. You will join our … Oxa MetaDriver Team which is responsible for delivering these technologies to both internal and external customers. It comprises a wide range of disciplines from ML and simulation, to application development, cloud engineering and data capture professionals. Specifically, you’ll be working in the scenario expansion workstream. Your Role As part … and interfaces for large scale traffic simulation. Contribute to the development tools and processes which will support the acquisition of data, scenario generation, and ML frameworks in software-in-the-loop simulation. Collaborate closely with our advanced scenario generation and simulation teams to align simulation efforts with scenario tools and more »

Senior .Net Developers (.Net 7, Azure, Machine Learning) Bournemouth, Dorset (2-3 days per week in office) £45-65k + 7-8% Bonus + £5k Relocation package. There is a £5000 relocation package available for these roles, but only for candidates in the UK. NO Visa Sponsorship … select the right tool from the job rather than being wedded to one stack and are always looking to the future, for example with Machine Learning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will be … pages, not any design work. They are on to Angular 16/Angular Material but are quite happy to speak to those open to learning it, or transitioning from Vue/React/Svelte for example. The ideal candidate will have Azure DevOps experience and knowledge of Docker, Kubernetes more »

team of 10+. Thanks to growth, they're now looking for an additional senior to join the firm and continue driving growth in the Machine Learning areas of the business. As a senior in the role, you’ll be afforded real autonomy when it comes to making technical … and problem-solving initiatives from existing datasets (ad targeting, up-sell/re-sell opportunities, opportunities for continued engagement).Work within data science and machine learning to continue automating the existing product suite: AI, Chatbots, Actions, Workflows etc.Explore new AI approaches and stay updated on advancements to tackle … with Research/stats involved in programme) Python Programming Language – 4-5+ years of experience in a Data Science settingExperience in AI/Machine Learning + either PyTorch/TensorFlowExperience with NumPy/PandasMatplotlib SQL/MySQL/database experiencePlease note, this is a hybrid position. Candidates more »

We are partnered with an exciting Cambridge based startup, building out their Machine Learning Division. Essential Qualifications: Doctorate degree in Mathematics, Computer Science, or a closely related field. Proven track record of research in either an academic or industrial setting. Demonstrated ability in effective communication across various scientific … knowledge in a dynamic work environment. Desirable Experience: Hands-on experience with computational models that simulate cellular disruptions. Knowledge of Bayesian methods and proactive machine learning techniques. Practical experience in developing AI-driven generative models, particularly those involving transformer architectures. A demonstrated passion for research into extending healthy more »

software planning, conducting thorough code reviews, and devising thorough test plans. The ideal candidate will collaborate closely with the MLOps team, tasked with deploying machine learning models on specialized systems like Nvidia Jetson. Key Responsibilities; * Lead the design, development, and implementation of software solutions, ensuring alignment with project … across Windows, Linux, and macOS platforms, addressing platform-specific nuances and optimizing user experience for each platform. * Collaborate with the MLOps team to deploy machine learning models on non- embedded systems, including Nvidia Jetson systems. Manage model deployment, monitoring, and optimization in production environments. Qualifications & Experience * Bachelor's … is a plus. * Knowledge of mobile app development frameworks and platforms (e.g., iOS SDK, Android SDK) is a plus. * Experience in MLOps, including deploying machine learning models on non-embedded systems such as Nvidia Jetson systems. If interested, and you match the criteria above, please apply with your more »

have developed a unique analytics and management platform for the hospitality industry which can be used directly by their target market. This software uses Machine Learning to automate processes, optimize pricing and provide visualization of actionable insights that their clients can use.Already partnered with over 10,00 businesses … founders and be fundamental to the growth and development of the company. The RoleYour role within the company will be focused on creating new Machine Learning models for use on their state-of-the-art platform. You’ll be developing and testing new models for forecasting, prediction, and … ll need:MSc OR PHD in a STEM subject – ideally from a top UK universityExperience with Python/TensorFlow/KerasSolid knowledge & understanding of Machine Learning/Data ScienceStrong Time-Series Forecasting Experience ·Research experience is a bonus!On offer is a salary up to £100,000 + more »

platform. Your contributions will be instrumental in advancing the capabilities and performance of our cutting-edge technology. Job Description Develop high-performance kernels for machine learning operators on NPU architectures Optimize existing kernels to ensure maximum efficiency and performance Collaboratae with the hardware and software teams to integrate … Engineering, or related field Minimum of 5 years of experience in kernel development for NPUs, GPUs, or similar hardware accelerators from 3 ~ 5 years (ML, linear algebra) Proficiency in CUDA, OpenCL, or similar parallel programming languages Experience in SIMD/vector processing experience(RISC-V Vector) Strong software development skills … using standard development tools (e.g., Git, Jira, etc.) Basic understanding of machine learning frameworks (TensorFlow, PyTorch, etc.) Excellent problem-solving skills with a logical and analytical mindset Strong communication and interpersonal skills to collaborate effectively within a team environment Ability to work independently, manage multiple tasks, and thrive more »

Data Science - Business Manager/Data Science/Machine Learning Engineer/CRM/Data Science/Stafford/Stone/Stoke-on-Trent/Burton-on-Trent/Cannock - £45,000 - £55,000 My client is hiring for a new Data Science and Business Manager. Your role … Data Science, Materials Science, or a related field. Must have experience in Materials Science Proven track record in computational modelling & or statistical analysis, and Machine Learning Having a working knowledge of using Python or R would be Responsibilities: Lead on projects that involve computational modelling and data analytics … manufacturing processes and characterisation techniques Collaborate with team members along with communicating to the relevant stakeholders on technical matters Data Scientist- Business Manager/Machine Learning Engineer/CRM/Data Science/Stafford/Stone/Stoke-on-Trent/Burton-on-Trent/Cannock more »

Market ads, eh?In 2020, this 1,000-person consultancy, which covers pensions, football, energy, and insurance, launched a new insurance product that combined machine learning with cutting-edge analytics for the first time. Four years later, companies like Lloyds of London and the Bank of England described … on cool projects.The team will grow, and you can shape your career however you like, which could be getting involved on the data science, machine learning and Python side or simply moving up – There are many paths and a key reason why their people often stay there … You’re driven and analytical and thrive on solving challenging problems.Bonus points if you have strong mathematics skills and interest or experience in Python, machine learning or data science.HOW TO APPLY:Either apply here or search for Simon Monaghan on LinkedIn; contact details are at the top of more »

Market ads, eh? In 2020, this 1,000-person consultancy, which covers pensions, football, energy, and insurance, launched a new insurance product that combined machine learning with cutting-edge analytics for the first time. Four years later, companies like Lloyds of London and the Bank of England described … cool projects. The team will grow, and you can shape your career however you like, which could be getting involved on the data science, machine learning and Python side or simply moving up – There are many paths and a key reason why their people often stay there … re driven and analytical and thrive on solving challenging problems. Bonus points if you have strong mathematics skills and interest or experience in Python, machine learning or data science. HOW TO APPLY: Either apply here or search for Simon Monaghan on LinkedIn; contact details are at the top more »

lead the development and implementation of an AI ethical framework and governance. The successful candidate will ensure that our use of artificial intelligence and machine learning technologies aligns with regulatory requirements, ethical standards, and industry best practices.Key Responsibilities:Stay updated on emerging trends, technologies, and regulatory landscapes in … requirements.Required Experience & Skills:Proven track record in AI ethics, with a comprehensive understanding of ethical principles, regulatory requirements, and best practices.Familiarity with AI and machine learning technologies.Experience navigating regulatory frameworks such as EU Act and GDPR, with a commitment to compliance and data protection.Join us in shaping the … You'll have the opportunity to actively contribute to the development and execution of ethical frameworks that guide the use of artificial intelligence and machine learning technologies. Your expertise and dedication will play a crucial role in ensuring that our practices align with regulatory requirements, ethical standards, and more »

building cloud solutions to support the activities of machine learning engineers across the company. You will build tools and APIs to support ML teams in every stage of their ML workflows. You will champion automation of the entire ML lifecycle, covering data ingestion, model development, model training, model … management, deployment, serving and monitoring. On a day to day basis you will prototype tools and APIs to allow ML engineers to access cloud based infrastructure developed by your MLOps colleagues, iterating towards a production-ready service. In developing solutions you will carefully consider the skillset of the end user … and design and document tools accordingly. ML team members will come to you as the authority regarding MLOps best practices and you will provide training in the use of in-house and third-party MLOps tools. In addition to supporting ML teams with their custom MLOps requirements, you will form more »

learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering more »