1 to 25 of 26 Machine Learning Jobs in Essex

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

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. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using ...

Qualifications: Bachelor's degree with 1-3 years of experience, or a Master's degree with similar experience. Proficiency in machine learning (ML) areas such as natural language processing, computer vision, and statistical learning theory. Proven experience in an ML engineering or data scientist role, building … optimizing ML models. Strong coding skills in Python, R, Scala, Java, or C++ Experience working with large-scale datasets, uncovering hidden patterns, using data visualization tools, writing SQL, and leveraging GPUs for model development. Skilled in communicating technical concepts to a variety of audiences, including business, technical, and non-technical ...

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 ...

area who are seeking a Senior RF Data Scientist/Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving … antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden/Greater Cambridge, with flexibility for onsite ...

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 ...

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 ...

guidance to junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

Data Science Manager We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative … effectively. Requirements Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field. 5+ years of experience in data science and machine learning. Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

solutions that support decision-making across Defence, Government and Public Sector clients. You'll join a people-first, innovation-driven culture where collaboration, continuous learning, and professional growth are encouraged. Every idea matters. You'll help set technical standards, influence project direction, and contribute to a data engineering community … public-sector data programmes. Familiarity with data standards, compliance, and data-governance frameworks. Experience in data analytics and visualisation. Demonstrable interest in ongoing learning, research, and adopting new technologies. Benefits: Competitive total compensation package ( TC ) Opportunity to support high-impact Defence and Public-Sector programmes Professional development and training ...

APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security, and governance. Provide input on data architecture. Qualifications 5+ years of experience in data engineering, including significant experience … Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models ...

data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. UK Citizen with SC (minimum). Desirable OCI and OIC experience. Exposure to ML/AI concepts and ability to support ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras … with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with ...

solving and hands-on technical work. Responsibilities - Develop innovative software solutions alongside the engineering team - Build tools for data gathering, preprocessing and optimisation for ML and algorithm development - Maintain and support operational Linux-based systems - Contribute to a broad mix of RandD, software, data science and technical problem-solving tasks … excellent problem-solving ability and attention to detail - Motivated, adaptable and keen to learn across multiple technical areas Desirable - Python experience and familiarity with ML/data science libraries - Interest in signals, RF or SDRs - Knowledge of Git, Docker or cloud platforms - Academic/project experience in ML, data science ...

performance. Research emerging data technologies and industry best practices; recommend and drive modernisation of data platforms, especially in big data, cloud, AI/ML-ready environments. Design and implement robust data models, frameworks, standards, and architectural artefacts to support enterprise-wide data initiatives. Collaborate with engineering, analytics, and business teams … data domains. Document data architecture artefacts, maintain the enterprise architecture repository, and support long-term architecture governance. Advise on future technology adoption - including AI, ML, automation, or advanced analytics - to keep data ecosystems future-proof. Key Requirements: Proven experience as a Data Architect in complex, secure or regulated environments (e.g. ...

panic. Someone who loves questions more than answers... at least at first. You'll be: Leading 0→1 development across AI-first products Turning ML capabilities (Python, TensorFlow, PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across … validating concepts at speed You'll thrive if you: Have shipped 0→1 products, not just maintained existing ones Understand how AI/ML actually works in product (beyond buzzwords) Are comfortable in high ambiguity and low ego teams Can move fast without breaking the trust of regulated environments Bring ...

.NET Developer - Chelmsford (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Since 2006 our client ...

Work With Frontend: Next.js (App Router), React, JavaScript, TypeScript, Chakra UI, TailwindCSS, shadcn/ui Backend: Supabase (PostgreSQL, Auth, RLS, Storage) AI/ML: OpenAI, Anthropic Claude, LangChain, Vector Databases Deployment: Vercel, GCP Must-Have Skills Core Languages: TypeScript, JavaScript, Python Databases: MySQL, PostgreSQL, JSON Frameworks: Next.js & React, incl. … Components, Server Actions) Proficiency in Supabase (database design, RLS, auth flows) Third-party API App Integration (incl. OpenAI, AI/LLM APIs) AI/ML: RAG implementation (Vector Databases, embeddings, semantic search) Stripe or Payment Gateway integration Solid Deployment Skills (e.g., Vercel, GCP) Experience with Git, Postman, and Webhooks ...