1 to 25 of 49 Permanent Machine Learning Jobs in the Midlands

Lead Machine Learning Engineer Our client is looking for an experienced ML/AI engineer to lead their delivery of effective ML/AI- driven solutions and processes, and to help shape their ML/AI strategy. They are looking for a Computer Vision expert to develop and … Stickee Technology Role: Lead Machine Learning Engineer Location: Fully Remote (UK) Salary: Up to £100,000 per annum In your role as ML/AI Lead, your duties will include: Reviewing their backlog of ML/AI-candidate projects and building, developing, and managing a team around you … to work with you on delivery. Key requirements: Design, build, deliver, and maintain end-to-end ML/AI solutions that enhance, organise, and enrich their data, cost-effectively, accurately, and scalably Plan and manage their ML/AI delivery pipeline Mentor and coach team members on ML engineering best more »

Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can … Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these … Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit more »

at home and 2 days in the office, working core hours Monday to Friday. As a DevOps/MLOps Engineer you will be operationalising machine learning effectively. You will support the architectural needs of their Data Science team to ensure the seamless deployment, monitoring, and maintenance of machine learning models and data pipelines. You will work in close collaboration with the Data Science team to design and implement scalable and reliable infrastructure for machine learning model deployment and data processing. The successful candidate will deploy machine learning models and data pipelines to … and alerting systems to ensure optimal performance and reliability. In this position, you will develop and maintain automation scripts and tools to streamline the machine learning model deployment process and ensure reproducibility. The DevOps/MLOps Engineer will implement security best practices and ensure compliance with relevant data more »

role offers career progression, training, and opportunities to pivot in a highly specialized field. This company is a leading specialist in developing bespoke software machine learning solutions for businesses within the engineering sector. In this role, you will be part of a specialist development team, contributing to the … development of bespoke machine learning products predominantly using C++. You will work as part of the team to code, debug, and assist across product development requirements. The role is based in the Leicester area and operates on a hybrid basis, requiring 3-4 days in the office. The … candidate will have experience utilizing C++ in a commercial environment. The right candidate should also be interested in the field of Artificial Intelligence and Machine Learning, have the ability to quickly grasp complex systems and relevant concepts, and possess strong verbal and written communication skills. This is a 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 »

our clients with Smart Digital Operation solutions - Intelligent technologies and solutions to digitalise, optimise and streamline industrial operational processes. Leveraging Data Analytics, Digital Twins, Machine learning, Automation and the IIOT (Industrial Internet of Things) to enhance process efficiency, help to drive to Net zero, product compliance, asset health … C#, Python, and SQL It would be beneficial to have an knowledge of IIoT platforms – ThingWorx , Aveva technology stack,analytical tools, digital twins and machine learning, or other relevant operational technology information systems. Proven experience integrating with RESTful Web Services Candidate Profile: Experience in developing UI Proven experience more »

them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »

COMPANY: We are working with a leading retail company, who are looking to progress the work they are doing around Machine Learning (Personalisation and Recommenders). They are looking for a Lead Data Scientist to join their team. A retail company is looking for a Lead Data Scientist … to join their team! ROLE: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the business Building predictive, segmentation and personalisation-based models 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 & Lead New Function Development. Prepare technical roadmap for the subject area … 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 »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

our clients with Smart Digital Operation solutions - Intelligent technologies and solutions to digitalise, optimise and streamline industrial operational processes. Leveraging Data Analytics, Digital Twins, Machine learning, Automation and the IIOT (Industrial Internet of Things) to enhance process efficiency, help to drive to Net zero, product compliance, asset health … software development languages: C++ It would be beneficial to have an knowledge of IIoT platforms – ThingWorx , Aveva technology stack,analytical tools, digital twins and machine learning, or other relevant operational technology information systems. Candidate Profile: Demonstrable experience developing communications drivers At least 3 years of experience as a more »

and development team for a client in the Staffordshire region. This role will focus on building applications that leverage data analytics, digital twins and machine learning in their quest to become market leaders in their sector. You need to have solid C++ coding experience alongside a blend of … a mix of: Python/C#/JSON and HTML Experience working with IoT platforms (ThingWorx , Aveva technology stack, analytical tools, digital twins and machine learning, or other relevant operational technology information systems) RESTful webservices experience is required Developing UI Agile methodologies Qualifications in Software engineering is highly more »

and development team for a client in the Staffordshire region. This role will focus on building applications that leverage data analytics, digital twins and machine learning in their quest to become market leaders in their sector. You need to have solid C++ coding experience alongside a blend of … a mix of: Python/C#/JSON and HTML Experience working with IoT platforms (ThingWorx , Aveva technology stack, analytical tools, digital twins and machine learning, or other relevant operational technology information systems) RESTful webservices experience is required Developing UI Agile methodologies Qualifications in Software engineering is highly more »

as SNS, SQS and Lambda for event streams, Amazon Redshift, S3 and AWS Glue for data storage & reporting and Amazon SageMaker for our pioneering machine learning products. We are a growing team, and we need more people to help us build the great data products we have planned. … and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline and CodeBuild more »

engineering and development team for a client in the Staffordshire region.This role will focus on building applications that leverage data analytics, digital twins and machine learning in their quest to become market leaders in their sector.You need to have solid C++ coding experience alongside a blend of Python … and a mix of: Python/C#/JSON and HTMLExperience working with IoT platforms (ThingWorx , Aveva technology stack, analytical tools, digital twins and machine learning, or other relevant operational technology information systems)RESTful webservices experience is requiredDeveloping UIAgile methodologiesQualifications in Software engineering is highly beneficialTo discuss this more »

the team to support growth and profitability using analytics and data within their pricing team. The Role: Building pricing models, using statistical techniques and machine learning algorithms. Conducting data analysis and reporting to evaluate pricing performance and identify opportunities for optimization. Developing and implementing pricing strategies Utilizing your … to extract, manipulate, and analyse large datasets. Experience using Python to build pricing models Proven experience in building pricing models using statistical techniques and machine learning algorithms. Excellent communication and interpersonal skills Experience working with senior stakeholders and helping to implement pricing strategy Benefits Up to more »

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the 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 »

lambda lab. Main responsibilities include but not limited to (Please note that applicants are not expected to fulfil all of these tasks single-handedly): Machine learning algorithm design including reinforcement learning, generative models etc. or optimization algorithm design including combinatorial optimization, operations research, etc. Conducting Algorithm theoretical … analysis; Information security algorithm and protocol design; Building (statistical) learning theory; Artificial Intelligence System Design; Technical Paper Writing; Project Proposal Writing； We would like you to have: PhD or Master’s degree (research-based is preferred) in Computer Science, Mathematics, Physics, or related fields； Familiarity with artificial intelligence algorithms more »

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyse raw data: assessing quality, cleansing, and structuring … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and visualization more »

team to understand and build solutions that combine internal insight, patient outcomes, and external data feeds - creating an opportunity to explore big data and machine learning algorithms. Support the implementation of the security controls that ensure patient data privacy and full compliance with the Data Protection Act/ more »

solutions to problems by applying your interpretive skills, attention to detail and dependable judgment. Passionate about fulfilling your potential, you are excited about constantly learning while fostering the understanding of others. Essential skills and experience: Degree in Computer Science, Mathematics, Physics, Engineering or a related discipline with a significant … .NET, for example: ? Desktop applications written in Windows Presentation Foundation using ReactiveUI and/or ASP.NETCore web services Good understanding of Git Experience of Machine Learning Operations (MLOps) Practical understanding of computational statistics Good communication skills, including the ability to explain technical concepts to users Experience of working more »

you will be encouraged to take Associate, Professional and Speciality certifications and additional training that is relevant to your role. We have a successful learning and development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As a … applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk Capital more »

The Candidate: Junior Data Analyst Masters Degree in computer science, data science, mathematics, physics or a related field. Basic understanding of mathematical, statistical, and machine learning data analysis techniques. Experience with 'big data'. Proficiency in programming languages used in data analysis, such as Python, R, or MATLAB. more »