51 to 75 of 192 Machine Learning Jobs in the UK excluding London with Remote Work Options

Title : Senior Software Engineer Package : Up to £80,000 + benefits Location : Hybrid (Cambridge, UK) Is this your next move? Building machine learning products used by blue chip companies worldwide. Working in a scale-up environment surrounded by like-minded and passionate engineers . Shipping software products into … long untouched industry. SoCode Recruitment is hiring on behalf of one of its reputable clients in the Cambridge tech space. Our client is a machine learning company operating within the legal sector and looking to scale massively throughout 2024 and into 2025. They have a well-regarded/… best practices across the development lifecycle. Responsibilities: Take the lead on engineering initiatives. Mentor other engineers in software development and promote an environment for learning and growth. Collaborate with cross-functional teams to define technical requirements and system architecture. Drive the adoption of best practices in coding, testing, and more »

Direction : Define the technical direction of the systems and tools utilised by the team, particularly as we advance towards leveraging Machine Learning (ML) and Artificial Intelligence (AI) technologies. Required Experience: To excel in this role, you should have demonstrable experience with the following: Snowflake : Proficiency in Snowflake, including more »

Job Title: Project Coordinator Onsite Cambridge office – hybrid Duration: 12 months Salary: £86,000 per year The Data team is responsible for ensuring our machine learning researchers have the data they need to produce solutions to the above goals. We are therefore seeking a Project Coordinator to help … attention to detail, excellent organisational skills and time management. Strong interpersonal and communication skills. Desired: Previous experience with the annotation of datasets. Knowledge of machine learning/artificial intelligence would be advantageous. Programming or scripting experience, e.g. Python. Education Relevant or a relevant professional experience. This role offers more »

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety more »

Specialist will have hands-on knowledge of FDA regulations, ISO standards & SaMD - as well as proven experience working with medical devices that use AI & Machine Learning. The purpose of this role is to provide expert advice and guidance on FDA approvals and 510(k) submissions. The Company The Regulatory … Affairs Specialist/RA Specialist will join an innovative Machine Learning MedTech start-up based-in Cambridge. The Regulatory Affairs Specialist/RA Specialist will contribute to a supportive team environment, which rewards hard work and innovative thinking. The current work pattern in place is fully remote. Benefits … completing submissions through 510(k) regulatory pathways Strong knowledge of SaMD (Software as a Medical Device), ideally with experience of radiology and AI/Machine Learning Further experience of UKCA and CE marking, as well as working with multi-disciplinary technical teams is advantageous The list above is more »

America) Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning ‍ We are a leading recruitment agency with an established AI department that has been running for over 7 years. more »

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 »

working, flexible working, option to buy/sell holiday Personal Development: Personalised development plan, Airbus Leadership University and unlimited access to 10,000+ E-learning courses, internal mobility including international opportunities Health & Wellbeing: Bupa health insurance (including assisted fertility treatments and gender dysphoria and reassignment support), wellbeing benefits (including … system architecture meets security and compliance requirements and expectations Manage project timelines, resources and deliverables to ensure successful project completion Work with AI/ML Architects to establish scalable ML frameworks and design standards ABOUT YOU ?Experience leading technical teams and engaging with business stakeholders to take ideas from concept … to production Proficiency in Python or a similar language Experience in developing, deploying and industrialising, scalable ML/AI solutions in production Proficiency in Docker, Kubernetes, and AWS services Experience using Deep Learning frameworks like Tensorflow, Jax, and/or Pytorch Proven experience in either NLP, Computer Vision, Anomaly 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 »

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 »

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 »

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 »

that offers key insights for better decision making. Role details of the DevOps Engineer Apply signal processing to reduce noise and improve algorithms Manage machine learning models and computational resources for real-time inferencing. Process big data … using Datalake/Datawarehouse and ETL tools (Athena, Amazon EMR, Amazon Redshift). Implement CI/CD pipelines for cloud and edge deployment of ML models. Orchestrate databases for ML predictions. Support AWS deployments for the backend team. Required Skills: Degree in Computer Science, Engineering, or a related field. 5+ … years of experience with CI/CD and ETL deployment for ML models. 1+ years of experience with cloud services preferably AWS and Kubernetes. Desire to work in a fast-paced startup environment. Hybrid working is available with this DevOps role, offering the successful candidate working 2 days onsite and 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 »

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 »

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 »

skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java 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 »

skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java 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 »

Handling substantial volumes of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered advantageous. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in designing and constructing solutions more »

designing and implementing on-premise, cloud-based and hybrid data engineering solutions Structuring and storing data for uses including - but not limited to - analytics, machine learning, data mining, sharing with applications and organisations. Harvesting structured and unstructured data Integrating, consolidating, and cleansing data Migrating and converting data Applying more »

it is a prime example of a big-data public archive which brings with it both vast opportunities for data reuse, for instance in machine learning, and the challenges inherent in managing imaging data at petabyte scale. Your role The role will work across the technical stack to more »

profiles going, can demonstrate extraordinary staff retention and longevity, andare responsible for one of Europes most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into disease … get to join a small, focused delivery team working on key feature development, devops, and testing, exploring new areas of cloud computing, AI/ML, and platform engineering. You'll be key in determining architectural and design decisions, supporting junior team members, writing fantastic code, ensuring it's all fully more »

communication and teamwork skillsDV Clearance is required for this roleDesirable Skills and Experience:Experience with other programming languages such as Python or JavaFamiliarity with machine learning and artificial intelligence techniquesExperience with simulation tools such as Simulink or Xilinx System GeneratorKnowledge of signal processing techniquesBenefits:This blue chip employer more »

communication and teamwork skillsDV Clearance is required for this roleDesirable Skills and Experience:Experience with other programming languages such as Python or JavaFamiliarity with machine learning and artificial intelligence techniquesExperience with simulation tools such as Simulink or Xilinx System GeneratorKnowledge of signal processing techniquesBenefits:This blue chip employer more »

track data uncertainty dynamically and throughout computations in unmodified computing workloads. Our technologies are used in applications including materials modeling, autonomous systems, computational finance, machine learning, and quantum computing. Our team consists of contrarian engineers with combined research, engineering, and leadership experience from Apple, ARC, ARM, Bell Labs more »