1 to 25 of 48 Machine Learning Jobs in Essex

Machine Learning Research Engineer - NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We're committed to creating ...

systems that optimise ad selection, campaign performance, and creative personalisation at a global scale. You will work in a highly collaborative environment with ML scientists and software engineers to deliver impactful solutions for the advertising domain. In this role, you will: Design, implement, and maintain large-scale machine … engineering, model training, validation, and deployment. Build real-time and batch data processing systems to support ad targeting, campaign optimisation, and experimentation. Collaborate with ML scientists and software engineers to integrate ML models into production systems and deliver measurable business impact. Develop APIs and services that enable ML-driven advertising ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering … semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

within commutable distance of Bristol) Employment Type: Full-time Experience Level: Senior Salary: £80k - £100k About the Role We are seeking an experienced Senior ML & AI Developer to lead the design, development, and deployment of machine-learning and AI-driven solutions. In this role, you will take ownership … direction, and mentor less experienced team members while working closely with engineering and product teams. What You'll Do Design, build, and deploy scalable ML and AI solutions for production environments. Lead model development, evaluation, and optimization across supervised and unsupervised learning use cases. Collaborate with backend and frontend ...

Responsibilities Design and develop innovative software solutions in collaboration with the engineering team Build tools and methods for data gathering, preprocessing, and optimisation for machine learning and algorithm development Oversee and maintain operational company systems (Linux-based) Contribute across a broad mix of R&D, software, data science … experience in signals, RF, or SDRs Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud) Academic or project experience in ML, data science, or digital signal processing Enthusiasm for working in a startup environment and taking ownership of initiatives What’s on Offer Entry-level role ...

seeking a highly skilled Data Scientist/Machine Learning Engineer to Join our client for a 3-month initial contract, with an immediate start. The role is Inside IR35 and offers a competitive day rate of £600–£700 DOE. You will be working on a cutting-edge generative … will have experience preparing data for LLMs and GenAI workloads, with strong technical ability in handling unstructured data and converting manual processes into structured, machine-readable formats. Experience working with secure or sensitive datasets and existing active SC clearance is essential. Key responsibilities include analysing and structuring messy datasets ...

technologies, libraries, and tools where appropriate. AI & Automation: Integrate AI and machine-learning powered features into backend systems. Collaborate with AI/ML specialists to deploy and maintain intelligent services. Stay up to date with emerging AI trends and identify opportunities for automation and optimization. Qualifications 5+ years … . Strong understanding of cloud platforms (AWS, Azure, or GCP). Experience mentoring junior developers or leading small development teams. Familiarity with AI/ML frameworks, data pipelines, or integrating large language models/APIs. Strong problem-solving skills and the ability to translate complex requirements into scalable solutions. Excellent ...

Have MSc or PhD in Computer Science, Data Science, Engineering, or related field Experience in financial services, particularly credit markets or investment management Classical ML/AI capabilities (gradient boosting, time series forecasting, anomaly detection) What They Offer Competitive Package - Base salary, discretionary bonus, generous pension, comprehensive benefits, and daily ...

backend services that support complex modelling work. Setting standards for clean, efficient engineering across Python(FastAPI), SQL and cloud environments. Training, tuning and deploying machine learning models into production. Creating processes for robust data extraction, transformation and management. Integrating new solutions with existing systems and ensuring smooth deployment. ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

Digital Operational Resilience Act (DORA) ETL testing with Azure Data Factory and advanced proficiency in SQL Experienced in advanced AI/ML approaches for improving quality efficiency Senior QE/QA leadership experience within Banking or Financial Services Proven ownership of enterprise quality strategy (not just delivery) Strong experience across ...

across multiple technical domains. This role is ideal for graduates or more experienced engineers with a strong problem-solving mindset and a passion for learning and innovation. Responsibilities - Develop software for both prototype systems and production-ready products, contributing to the full development lifecycle - Work on multiple projects simultaneously … quickly - Proficient in Python programming Desirable: - Experience with software-hardware integration or working with embedded systems - Familiarity with computer networking concepts - Experience using deep-learning frameworks (e.g., TensorFlow, PyTorch) - Understanding of machine learning, statistics, optimisation or algorithm development - Experience developing mobile applications (iOS/Android) Please contact ...

quickly Working knowledge of Python Desirable Skills (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android ...

motivated, able to own and independently manage large projects Desirable Skills: * Familiarity with Full stack development including Vue3, Typescript and Django AWS EKS deployments Machine learning model development Agentic AI pipeline development Some understanding on mechanical design processes and tools, specifically FEA and CFD for aerothermal design. Including ...

enterprises solve their biggest workforce challenges: skills gaps, internal mobility, and retention. We replace static spreadsheets with a dynamic, 'skills-first' engine that uses machine learning to map career paths and match employees to opportunities. It's personal for us – most of our team have faced and overcome ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

from software-defined radios for our Saffron Walden based client. This hands-on role sits at the intersection of RF hardware, DSP and applied ML in a fast-paced RandD environment. Responsibilities: Analyse and characterise IQ data from SDR platforms Build RF signal analysis and visualisation tools Design RF data … processing pipelines accounting for real-world hardware effects Develop ML and statistical models for RF classification and detection Prototype batch and real-time processing systems in Python and integrate with GNU Radio or C++ backends Support RF data collection and over-the-air testing Requirements: Strong Python skills for data ...

Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs, and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You'll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that's pushing boundaries in autonomous AI What You'll Need: A strong foundation in data science and machine learning Hands ...