25 Machine Learning Jobs in the Midlands with Remote Work Options

Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer the company and role: Its a great time to join the team. The company delivers a range of enterprise level solutions. Its … CI/CD deployment pipelines > Working with DevOps and SREs in architecting and managing the cloud infrastructure, using Terraform > Mentoring less experienced engineers Senior ML Learning Engineer the environment: > Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language … models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) > Strong IaC experience, using Terraform or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop 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 »

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 for the subject area . Develop and design new functions. · Support … 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 »

in the office) Join a dynamic team of talented professionals who are pushing the boundaries! COMPANY PROFILE Through the power of Data Science and machine learning, Our client leverages data and delivers at a rapid speed! As they strive for unprecedented growth, they seek an ambitious Lead Data … of forecasting systems and contributing to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in 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 »

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 »

teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, data modelling, and data governance. more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could have experience with cloud-based big data architectures and services (AWS, GCP more »

think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas). Microsoft Power more »

16+ Azure, Android and iOS. You will be working as part of an agile team utilising the latest and best technologies. You should enjoy learning new technologies as we innovate in many areas such as cloud computing, machine learning and data science. Training opportunities will be provided … Developer include: Developing and writing code to our coding standards Testing and taking responsibility for work carried out Problem solving and bug fixing Actively learning new or unfamiliar technologies Working with the business to understand requirements Adding value to our solutions Qualifications This position is ideal for an entry more »

blockchains.Write clean, maintainable, and scalable code.Participate in code reviews and team meetings.Keep current with the latest trends and technologies in full-stack development and machine learning.Requirements:Demonstrate that you are a builderAt least 5 years of professional experience in full stack development.Experience on EVM blockchainsProficient in database management (SQL more »

data-driven decision-making: play a crucial role in fostering a data-driven culture within the iterative output teams Future planning: Incorporate AI and ML models into data streams to create predictive analysis models, informing business decisions ahead of time Experience required for the opportunity: ● Ability to read and analyse more »

and business outcomes. These systems currently support approximately 200 internal users and 4,000+ external users. Furthermore, the NHSCFA are investigating the use of Machine Learning/Data Science to facilitate the future identification and prevention of fraud against the NHS. The Head of Technology will be responsible 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 »

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 »

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 »

how to improve the BI function; processes, technology, the internal offering. You want to work for a company that is looking to AI and ML for their future tech and play a part. You want to have the opportunity to create, change or even start again on projects, its all more »

teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. The Head of Data Engineering will be a remote based role with the need to go into more »

control. Working knowledge of NodeJS, Laravel, SCSS, React Apps. Preferred requirements: Knowledge of cloud technology such as AWS, Docker, Kubernetes, Google Cloud. Interest in ML/AI and the desire to implement it in a production environment is desirable. React and experience building UI components is desirable. Experience with RESTful more »

Desirable Skills/Things you can learn: Experience or a keen interest in cloud technologies (AWS, Docker, Kubernetes). Curiosity about or experience with ML/AI, with a view to applying it in real-world scenarios. Expertise in building RESTful Web Services and UI components using React. An interest 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 »

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … Job You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information more »