251 to 275 of 1,181 Machine Learning Jobs in the UK

Develop the Linux runtime for Fractile’s innovative AI acceleration hardware Implement highly-optimised accelerator firmware Work with hardware and higher-level software and ML engineers in a highly collaborative hardware-software co-design methodology You have: Proven experience of the development of Linux device drivers A good understanding of … Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Experience of working with GPUs or dedicated machine learning accelerators Knowledge of contemporary machine learning techniques and technologies Previous experience in a startup or small team environment more »

AI Lead Engineer - LLM, Machine Learning London based contract, hybrid working - AI/LLM Lead Engineer/Architectspecialise in AI applications and Large Language Models AI Lead Engineer/Architect Artificial Intelligence/Machine Learning experts with LLM, NLP Experience: Advise on LLM SW Engineering principals more »

and Insights: Direct the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics. Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous … client engagement Extensive experience in advanced analytics and data science, preferably in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points … for: Experience implementing Machine Learning models and familiarity with large language models. Knowledge of cloud-based solutions on major providers (Azure, GCP, AWS). Familiarity with collaborative software tools such as Git and Jira. Proficiency in user interface applications like React and JavaScript. Domain expertise in pricing, demand more »

s degree in Computer Science, Engineering, or a related field. Proven experience as a QA Engineer, ideally in a computer vision or AI/ML environment( but even if you studied it at uni that would be fine) Strong understanding of software QA methodologies, tools, and processes. Hands-on experience … as OpenCV, TensorRT, PyTorch, and CUDA. Knowledge of cloud platforms like AWS, GCP, or Azure. Experience with performance and load testing tools. Understanding of machine learning concepts and deployment pipelines. About the client Our client develops innovative AI platforms providing real-time visibility and control over vital transportation … assets. Harnessing state-of-the-art machine learning, our clients platform empowers warehouse operators with intelligent insights to optimize the utilization of trucks, trailers, chassis, containers, and personnel – the core operational assets of commerce. What’s it like to work for this Client? You will join an enthusiastic 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 »

field. At least 10 years of experience in AI research and development. Proven track record of published research in AI safety. Strong understanding of machine learning algorithms and data science. Experience with AI security testing and red-teaming. Excellent communication and leadership skills. Skills and Competencies: Deep knowledge … of AI and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Proficiency in programming languages such as Python and R. Strong problem-solving skills and the ability to think critically and creatively. Ability to work collaboratively in a multidisciplinary team environment. Excellent project management skills, with … research and developments in AI safety. Ability to communicate complex technical concepts to non-technical stakeholders. Willingness to participate in conferences, workshops, and continuous learning opportunities. Competencies: Excellent communication skills. Good command of English. Positive attitude. Willingness to learn & work long term. Self-learning ability. Ability to meet more »

develop the Linux runtime for Fractile’s innovative AI acceleration hardware Develop highly-optimised accelerator firmware Work with hardware and higher-level software and ML engineers in a highly collaborative hardware-software co-design methodology Support and develop more junior colleagues You have: Strong experience of the development of Linux … Electronic Engineering, Maths, Physics, or related degree and 7+ years of industry experience You may also have: Experience of working with GPUs or dedicated machine learning accelerators Knowledge of contemporary machine learning techniques and technologies Previous experience in a startup or small team environment more »

Location: Weymouth Benefits: Competitive salary, 25 Days Holiday, Hybrid Working Responsibilities: Manage and mentor a team of data analysts, fostering a culture of continuous learning to drive performance. Lead the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee … trends, opportunities, and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques … such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations using Power BI or similar tools, enabling stakeholders to gain insights and make informed decisions based on more »

data transformation, without the need for the crutch of Cloud Platforms at all times… Develop, enhance, and manage intricate data ingestion pipelines. Integrate advanced machine learning elements into data pipelines. Implement data quality metrics and dashboards for monitoring. Collaborate with data scientists, engineers, and cross-functional teams in … and processing. Ensure the efficiency, scalability, and dependability of data ingestion pipelines.Qualifications: Minimum 3 years of experience in developing data ingestion pipelines with advanced ML elements. Degree in Computer Science, Data Science, Engineering, or related field. Proficient in Python, SQL, PySpark, and Databricks. Experience with modern NLP techniques and tools. … data scientist or quantitative risk modeller. Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field (advanced degrees preferred). Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies (Databricks, PySpark). Experience more »

have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be the accountable person for Data as a Product at GRIDSERVE and own the product … Architect ensuring that the Product Roadmap aligns with the Data Platform Roadmap and evolution, influencing the product roadmap as new platform capabilities such as machine learning and artificial intelligence are introduced Develop the product catalogue, roadmap, backlog, and sprint planning while utilizing scrum, agile, and DevOps methodologies. Demonstrate … to non-Azure technologies and familiar with the strengths and weaknesses of a spectrum of BigData and Streaming technologies. Experience with Data Science and ML teams. Experience with the Azure cloud-based data frameworks Experience of cloud based data warehouses. Required qualifications and certifications Microsoft Dynamics Certifications or other relevant more »

diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machine learning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »

diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machine learning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »

synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with … implement data integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. more »

re looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these … more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any more »

I am recruiting for a Senior Full-Stack Software Engineer who will be pivotal in developing state-of-the-art AI/ML solutions for diverse projects, including signal processing, geospatial Datamodelling, image processing, and high-fidelity simulations. You'll work in collaborative, flexible, and self-organising teams, turning concepts … with expertise in a high-level programming language such as Python or JavaScript (preferably Typescript) and experience with PostgreSQL. The business delivers AI and ML solutions to its customers and as such you should have an interest in this field and perhaps some exposure and an understanding of Machine … environment. You should also be well versed in a DevOps environment and be happy deploying solutions. Any experience of systems integration or specifically integrating ML solutions to hardware would be highly advantageous. SC Clearance will be required for this role so if you don't already hold it then you more »

I am recruiting for a Senior Full-Stack Software Engineer who will be pivotal in developing state-of-the-art AI/ML solutions for diverse projects, including signal processing, geospatial data modelling, image processing, and high-fidelity simulations. You'll work in collaborative, flexible, and self-organising teams, turning … with expertise in a high-level programming language such as Python or JavaScript (preferably Typescript) and experience with PostgreSQL. The business delivers AI and ML solutions to its customers and as such you should have an interest in this field and perhaps some exposure and an understanding of Machine … environment. You should also be well versed in a DevOps environment and be happy deploying solutions. Any experience of systems integration or specifically integrating ML solutions to hardware would be highly advantageous. **SC Clearance will be required for this role so if you don't already hold it then you more »

services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track … record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual more »

services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track … record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual more »

services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track … record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual more »

AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for … of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or more »

into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data science Requirements: Essential … record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling and forecasting Exposure to Cloud Environments like GCP or AWS … Knowledge of Bash, Unix, and version control systems like Git Understanding of Object-Oriented Programming principles About Us: Our client, founded by experts in machine learning and industry veterans, is dedicated to unlocking the value of data and technology. We specialize in applying cutting-edge research to solve more »

ensuring accuracy, performance, and scalability. Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing various statistical and machine learning techniques. Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders. Collaboration: Work closely with underwriters, engineers, and … Education: Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL. Experience with big data technologies and tools such as Databricks more »

maintain high-quality software solutions using C# and .NET. Utilise AWS services to build, deploy, and manage applications in the cloud. Implement AI and machine learning algorithms to enhance software functionality and performance. Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs. … focus on C# and .NET. Proven experience with AWS services such as EC2, S3, Lambda, RDS, and DynamoDB. Hands-on experience with AI and machine learning frameworks and libraries. Strong understanding of software development methodologies, tools, and processes. Excellent problem-solving skills and the ability to work effectively more »

across all company functions, enhancing our ability to make informed decisions quickly and effectively.You'll also play a critical role in integrating AI and machine learning models into our services, working closely with product teams to improve customer experiences and operational efficiencies. Your oversight will extend to the … significant portion in leadership positions. Prior experience in the banking or financial services sector is highly desirable.Technical Proficiency: Advanced knowledge of data analytics frameworks, machine learning, AI integration, and the ability to design scalable data infrastructures and architectures.Regulatory Knowledge: Comprehensive understanding of and experience with data protection regulations … employee contribution and a 3% employer top-up.Learning and development: After 1 year of service, you'll have access to 500 from the Kroo Learning Fund to invest in your career development.Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook more »

QC, and actively seek ways to build MA’s “data and risk expertise” reputation externally (white papers, speaking panels, etc.). Partner with other ML groups inside the company to find hybrid solutions and benchmarks. Additional Requirements: » Performing statistical analysis on financial, climate and other type of data. » Predictive analytics … Learning/AI algorithms.» Demonstrated knowledge and experience with Tensor Network based numerical simulation methods is a plus, with a focus on ML, optimization, function approximation and dimensionality reduction.» Familiarity with Tensor Network libraries and/or relevant functions (ITensor, cuTensorNet, TeNPy, tntorch, scikit-tt or other toolboxes more »