16 of 16 Permanent Machine Learning Jobs in Buckinghamshire

defining best practices. Working with clients, and cross-functional teams, you’ll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you’ll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML … implementing Faculty’s standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we’re looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like ...

complex challenges with cutting‐edge technologies. You will work with key client stakeholders to understand business requirements and design solution proposals. You will use machine learning algorithms and other tools to develop and execute data models. You will consult with key internal and external stakeholders to determine … meeting with client stakeholders to discuss their business requirements. Design and implement a data pipeline for processing large datasets. Develop and execute a machine learning model to solve a business problem. Present your findings and recommendations to a variety of audiences. Collaborate with other engineers and data scientists ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

consideration and company funding. Your main responsibilities will be to Have an in-depth knowledge of the management, methods for development, methods for deployment, ML-Operations and procurement of AI solutions in multiple projects and/or solution elements, and specifically: Understanding and Management of Generative AI and associated technologies … that corporate AI capability is advanced. Support workshops, discovery activities and requirements gathering. Be adept with both Predictive Analytics environments as well as ML Classifiers. Develop solutions for, and in deploying on, public and private cloud technologies, particularly Azure or AWS. Manipulate, process, and extract value from large, disconnected datasets ...

traditional data annotation role. You'll be responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout … machine learning lifecycle, helping improve model accuracy by creating robust, well-structured datasets. Responsibilities Prepare, curate and annotate large-scale image and video datasets. Develop and improve annotation workflows and tooling. Configure and maintain annotation platforms. Create annotation guidelines and documentation. Validate dataset quality and consistency. Perform quality ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

AIML Data Platforms and Chief Data and Analytics Team , you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. … operational excellence. Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

Faculty is seeking a Machine Learning Engineer to deliver bespoke AI solutions for Financial Services clients. You will bring ML from lab to production, contributing to scalable software architecture and best-practice deployment. You will work with clients and cross-functional teams to ensure feasibility, timely delivery … high-quality, production-grade ML systems. Ideal candidates have hands-on experience with Python and ML frameworks, cloud platforms, and container orchestration. #J-18808-Ljbffr ...

Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal ...

making platforms measurably better, you'll find meaningful impact and growth here. As a Lead Software Engineer at JPMorgan Chase in the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

company‐wide technology changes. Experience operating in a shared resource model, balancing BAU and strategic delivery workloads at scale. Exposure to AI/ML concepts and how they change project governance, risk management, and team capabilities. Agile/Scrum certification (SAFe, AgilePM, Kanban, or equivalent). ITIL Foundation or above. … Portfolios) certification or knowledge of portfolio governance frameworks. Formal training or demonstrated fluency in organisational change management/transformation leadership. Understanding of AI/ML concepts and their impact on delivery and team capabilities (no deep technical depth required; intellectual curiosity and fluency are sufficient). Our Values ...

Unisys in Milton Keynes is seeking a Senior Data Engineer to design and implement data pipelines, develop ML models, and translate business needs into technical solutions. You will work with stakeholders to understand requirements and leverage AI/LM technologies to deliver actionable insights. The role involves collaborating with data ...