1 to 25 of 51 Machine Learning Jobs in the Midlands

methodologies, cloud-based solutions, Digital Evolution, API Management and Intelligent Automation. Supplier management and project management are key to manage outsource partners. Knowledge of Machine Learning and AI technologies is desirable Excellent presentation and reporting skills to give regular updates of progress to management and executive layer Knowledge more »

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 »

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 »

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 »

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 »

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 »

Junior Developer/Graduate Developer/Computer Science/Mathematics/Engineering/Software Engineering/C++/C#/Doctorate/Ph.D./Machine Learning/Artificial Intelligence/Programming/Coder/Trainee/Entry-Level/Graduate/Junior/iOS Developer/iOS Engineer more »

methodologies, cloud-based solutions, Digital Evolution, API Management and Intelligent Automation. Supplier management and project management are key to manage outsource partners. Knowledge of Machine Learning and AI technologies is desirable Excellent presentation and reporting skills to give regular updates of progress to management and executive layer Knowledge more »

Data Science and Data Engineering needs to fulfil data & analytics solutions Architecture experience in the cloud (Azure Storage, Databricks, Delta Lake, Lakehouse, Azure AI, ML Ops) It would be great if you also have Appreciation of Data Security and governance Exposure of working with matrix teams of multiple vendors and 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 experi... 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 »

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 »

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 »

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 »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages more »

on Google's operating systems hosting all their applications on GCP. They heavily utilise data and have a focus on improving their AI/ML capabilities. You will be the most senior DevOps engineer on the projects with full autonomy to lead from the front. You will have the freedom 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 »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

easy access to critical information for all stakeholders. Ensure compliance with GDPR and data minimisation principles. AI Integration and Data Insights: Embed AI and machine learning capabilities to query and draw meaningful insights from our data. Leverage Python and other data and analytics tools to structure, cleanse, and more »

is delivered in the most appropriate manner, considering look and feel, and the most appropriate technology to meet the requirement. Ensure any AI or Machine Learning in SAP is delivered in the most appropriate manner for the requirements. Any code is written in line with standards and security more »