101 to 125 of 312 Machine Learning Jobs in England with Remote Work Options

as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps … and Data Engineers to deploy ML models on AWS. Provide mentorship to peers and partners on potential actions and impacts. Develop Python code adhering to standard processes, CI/CD, and test coverage. Qualifications We strongly encourage anyone with the below to apply: You are a self-starter with experience … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them more »

applications for performance, scalability, and security. Participate in code reviews, providing constructive feedback to team members. Mentor junior developers, fostering a culture of continuous learning and improvement. Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive. Qualifications: Bachelor's or Master … oriented environment. Preferred Qualifications: Experience with Agile/Scrum methodologies. Familiarity with DevOps practices and CI/CD pipelines. Knowledge of data science and machine learning concepts. Experience with other cloud platforms and technologies. What We Offer: Salary between £100-110k Competitive bonus Competitive pension Enhanced private more »

level and low-level design automentation Fsmiliarity with Agile/DevOps software development methodology Familiarity with CI/CD and pipeline automation Familiarity of machine learning principals/pipelines and associated toolsets such as Pytorch and Tensorflow Familiarity with Azure, AWS, GCP products and services - Knowledge of technologies more »

technical concepts to non-technical stakeholders. - Proven ability to work in a fast-paced, dynamic environment and manage multiple priorities Preferred Qualifications: - Experience with machine learning and AI techniques. - Knowledge of data governance and compliance best practices. - Certifications in Palantir Foundry or related technologies. Working Conditions: - This position 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 »

on various models across Pricing, Fraud and Claims. What you'll do: Collaborate with business partners to improve processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Collaborate with DevOps and Data Engineers to deploy ML models on AWS. Develop Python code … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs and refining them to strong results. Exposure to … BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why choose us? This is your opportunity to be at the forefront of our game-changing more »

Pipelines: Deploy & manage NLP models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability. Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows. Champion NLP Expertise: Collaborate with data science … into operational considerations, & champion continuous improvement of NLP models. We're Looking For: Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python. MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure … GCP). Degree in Computer Science, Machine Learning, or related field (preferred), proficiency in Python and TDD practices, and a proactive learning mindset. If this sounds like you and you'd like to find out more, apply below with your up-to-date CV, or reach out more »

development and operations of their automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines that incorporate advanced ML components and thrives in a dynamic, agile environment. Key Responsibilities - Automated Ingestion System Development: Be a key player in the design, development, and maintenance of … sophisticated data ingestion pipelines, ensuring they are efficient, scalable, and reliable. - ML Component Integration: Integrate advanced machine learning components into data pipelines to enhance data processing and analysis capabilities. - Data Quality and Metrics: Develop and implement data quality metrics and dashboards to monitor and ensure the integrity and … engineering to continually enhance their systems and processes. Qualifications - Experience: At least 3 years of experience in developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: A degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills Strong more »

with disease subtypes at a finer granularity. The Perturbation Catalogue will deliver rich community standards, open-source harmonisation and meta-analysis software, gold standard machine learning ready datasets, and a highly customisable public cloud platform with distributed data warehousing technology for cross metadata queries. You will interact closely more »

measurable difference, recognised by our colleagues and in our company reports. What will you do as a Senior Data Scientist at N Brown? Use Machine Learning to unlock opportunity and solve complex challenges across the organisation. Actively support our transformation in data to our new analytics platform and … data stories to bring your work to life to colleagues across N Brown. Work within an agile squad with a high level of autonomy, learning on your experience to help define, size and prioritise work.. Mentor colleagues and interns to aid them in their development and to raise knowledge … data community. What skills and experience will you have? A track record delivering successful commercial outcomes with Data Science. An excellent understanding of statistics, ML frameworks and algorithms. An excellent understanding of Python and SQL. Experience with cloud platforms (preferably GCP) and a modern tech stack. Excellent written and verbal more »

team. This role involves developing a cutting-edge desktop application and its associated Python backend. The app enables users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. The application runs on the user’s hardware, posing unique challenges in maintaining flexibility … Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies : Experience with tools such as Docker. Desktop Application Development : Familiarity … with developing and deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance more »

testing. Develop and optimise Sonar signal processing algorithms and AI algorithms. Exhibit pride in delivering high-quality, meticulously crafted code. Foster a culture of learning and feedback by conducting peer reviews of designs and code. Aid verification teams in integration, defect analysis, and resolution. Manage assigned stories and tasks … Skills, Qualifications, and Experience: Proficiency in C++ development with expertise in multi-threaded design. Strong background in signal processing and/or AI/ML techniques. Familiarity with UML design techniques and the entire software development lifecycle. Exposure to machine learning is advantageous. Knowledge of Python and packaging … skills with meticulous attention to detail. Exceptional communication and collaboration skills. Ability to thrive both independently and within a team environment. Proactive approach to learning and continuous improvement. If you're ready to represent an international defence business and contribute to global security efforts, we invite you to apply. 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 »

working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great … learning and development plan Microsoft certifications paid for and supported by Mercury Permanent Health Insurance (PHI) Health Cash Plan Critical Illness Cover Electric Car Vehicle Scheme 4% Employer Pension Contribution 25 days holiday per year 1 full extra day “free holiday” on your Birthday Free parking Buy/sell more »

thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to … time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI … health, wellbeing, lifestyle, and finances. Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech. more »

the broader scientific community from academia and industry to ensure that EBIs chemical biology resources remain world-leading and, in particular are AI/ML ready. Seek new opportunities to further enhance EBIs chemical biology resources, for example through the use of AI/ML Work with strategic partners (e.g. … You might also have A track record of visible contributions to the scientific community e.g. publications, conference presentations, panel memberships, journal editorship Knowledge of machine learning and AI Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £260, monthly child more »

and growing AdTech company as they expand into European markets (they dominate the UK market with a 90% market share) with their AI and Machine Learning driven SaaS platform. As a Senior Full Stack Developer you'll have a range of interesting projects to work on, with roughly … above in Computer Science or similar technical discipline What's in it for you: Salary to £85k Pension Health Insurance 25 days holiday Continual learning and career development opportunities Apply now to find out more about this Senior Full Stack Developer/Engineer (React TypeScript C#) opportunity. At Client more »

Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This more »

team. As a Data Engineer and working closely with technical specialists such as Product Owners, Business Analysts, Delivery Managers, Software Engineers, Data Scientists and Machine Learning Engineers, you’ll build and run secure data applications and data products. You’ll promote Agile technical practises, using Agile methodologies to more »

set for release purposes Desirable • Proven experience of Oracle ODI • Familiarity with Snowflake • Experience with collaboration tools i.e., Atlassian products (Jira, Confluence) • Understanding of machine learning or data science • Experience with working on the cloud, preferably with AWS • Practical understanding of AWS Code Family • Reporting layer experience with more »

a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our more »

Engineering skills. Responsibilities : Play a pivotal role in crafting, enhancing, and managing intricate data ingestion pipelines, ensuring their efficiency, scalability, and dependability. Integrate advanced machine learning elements into data pipelines to elevate data processing and analytical capabilities. Devise and implement data quality metrics and dashboards for monitoring, ensuring … contributions of each member toward our shared objectives. Qualifications : - Experience : A minimum of 3 years' experience in crafting intricate data ingestion pipelines incorporating advanced ML elements. Prior exposure to the insurance domain is advantageous. - Education : A degree in Computer Science, Data Science, Engineering, or a related discipline. Technical Skills : Proficient more »

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place … a plus Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the more »

of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and more »

of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and more »