1 to 17 of 17 Permanent Machine Learning Jobs in the East Midlands

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 »

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 »

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 »

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 »

to scale its internal data and AI capabilities, plus add value to its clients through the modern use of data, reporting, and AI/ML tools. Above all, we're looking for an experienced data leader with a commercial mindset to drive the business to another level. Key details: Salary … member of the senior leadership team Core Responsibilities: Data Strategy (Internal): Develop and execute a data strategy by leveraging the knowledge of AI/ML tools. Data Management: Oversee data collection, storage, management, and analysis. Ensure data quality, integrity, and security. Client Engagement: Understand client needs and deliver tailored solutions. 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 »

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 »

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 »

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 »

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 »

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 »

skill development hiring when needed to grow the capabilities of the team Use new tools and tech to ensure the team are first in ML and predictive analytics Work with C Suite to understand company goals and highlight ways to achieve them, providing reports on success measures and targets YOUR 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 »

qualification (e.g., CEng, EurIng). Higher level qualification in Mathematics or Physics. Safety-related software experience (e.g., TÜV Süd certification). Experience with IoT, machine-learning technologies, Microsoft Azure. Understanding of networking and Cloud computing fundamentals. Benefits to look forward to: £55,000 starting salary Flexible working Role more »

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 »