1 to 25 of 134 Remote/Hybrid Machine Learning Jobs in the South East

growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You'll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring … data pipelines to implementing and validating ML models, you'll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized ...

place to do it. An opportunity to play your part The AI Software Engineer is responsible for designing, building and operating artificial intelligence and machine learning solutions that deliver measurable customer and business value. This role focuses on taking AI from experimentation into production, developing reliable, scalable … using tools such as Python, SQL, Spark or similar data processing technologies. Experience deploying and operating AI systems in cloud environments using containerisation, managed ML services or serverless architectures. Understanding of MLOps practices including model versioning, experiment tracking, CI/CD for models and monitoring of model performance and drift. ...

Agent Engineer/Machine Learning Engineer SC Cleared | Remote | £465/day Inside IR35 | Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power … driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that ...

these roles About the Roles We're looking for experienced AI and Machine Learning Engineers at all levels—from AI Engineer and ML Engineer through to Senior, Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model … build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across the full ML lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with ...

quality learner outcomes What You'll Bring Applied experience in machine learning, AI engineering, or data science Hands‐on experience with production ML systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps … passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‐driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise ...

Senior Consultant and Managing Consultant** level, this is an exciting opportunity to join a collaborative, innovative and fast-growing team delivering cutting-edge AI, machine learning and data science solutions across a broad range of industries. You'll work alongside talented consultants, data scientists and AI specialists, solving … turn data into meaningful commercial outcomes. What You'll Be Doing Depending on your level, you'll be responsible for: * Designing, building and evaluating Machine Learning, Generative AI and Large Language Model (LLM) solutions * Delivering AI and data science projects from discovery and proof of concept through ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research … domain such as Computer Science, Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph ...

Senior Data Scientist LOCATION- London (Hybrid) TERM- Permanent SALARY- £85,000 to £95,000 per annum BENEFITS Pension, Hybrid Working, Learning & Development Budget, Private Healthcare, Bonus, Career Progression Opportunities etc. We are partnering with a highly regarded, technology-driven organisation that is investing heavily in data, machine learning … Scientist MUST have: Several years of hands-on Data Science experience within a commercial environment Strong Python and SQL skills Experience developing and deploying machine learning models into production environments Excellent understanding of statistical modelling, experimentation, and model evaluation Strong feature engineering and exploratory data analysis capabilities Experience ...

London, with hybrid working available. This organisation has established itself as a leader within the consumer finance and technology sector, combining advanced analytics, machine learning and cutting-edge technology to drive intelligent decision-making and responsible lending. Operating within a collaborative, high-growth environment, they are committed … will not be limited to : Developing and maintaining robust data solutions to support predictive modelling and advanced analytical projects Designing, building and deploying machine learning models to support credit risk management and wider business optimisation initiatives Deploying predictive models into production environments, collaborating closely with software engineering teams ...

Doing Build, test, and improve production-grade deep learning models for computer vision tasks (classification, detection, segmentation, tracking) Optimise and deploy CV/ML pipelines to cloud and edge platforms Design, curate, and manage image/video datasets for training and evaluation Develop and maintain annotation workflows and tooling … Create synthetic data pipelines (including generative approaches) to augment real-world datasets Stay current with emerging tools, methods, and best practices in CV/ML What We're Looking For Degree in Computer Science, Electrical Engineering, Robotics (or similar), or equivalent commercial experience Proven experience delivering deep learning solutions ...

ML algorithm development in the RF domain for electronic warfare South East England, hybrid working; to £58,000 + Benefits This renowned research institute is developing world-class capabilities in the understanding, management and exploitation of the electromagnetic environment through the application of AI technologies. They research new algorithms … Requirements: Demonstrable experience developing algorithms to solve problems in RF, RADAR, communication networks or similar physics or engineering domains. Commercial or academic experience applying ML techniques to real-world problems. Experience leading high-quality research projects including publishing research to top-tier reviewed journals. Strong academics including a relevant ...

ML Engineer About iProov iProov provides science-based biometric solutions that enable the world's most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless … Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Machine Learning Engineer to join our Core AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ...

ML Engineer About iProov iProov provides science-based biometric solutions that enable the world's most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless … Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Machine Learning Engineer to join our Core AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ...

ML Engineer About iProov iProov provides science-based biometric solutions that enable the world's most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless … Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Machine Learning Engineer to join our Core AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ...

following continued growth and investment. This is an exciting opportunity to join a multidisciplinary engineering team developing next-generation intelligent systems that combine AI, machine learning and robotics to solve complex real-world challenges. Working closely with software engineers, data scientists and product teams, you'll play … reliability and scalability. Requirements Commercial experience developing AI or Machine Learning solutions. Strong Python development skills. Experience with TensorFlow, PyTorch or similar ML frameworks. Knowledge of Computer Vision, Robotics or Autonomous Systems. Experience working with cloud platforms (AWS, Azure or GCP). Understanding of APIs, microservices and modern ...

knowledge management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI. Key Responsibilities Design, build and deploy production-ready LLM and Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure AI Foundry Develop scalable AI applications using modern orchestration frameworks including … LangChain and LangGraph Build agentic AI workflows and enterprise AI services using retrieval, tool-calling and orchestration patterns Deliver end-to-end AI/ML pipelines covering experimentation, deployment, monitoring and optimisation Apply MLOps and LLMOps best practices across model lifecycle management, governance and production monitoring Work closely with Data ...

Hybrid - 2/3 Days On-Site) | Up to £65,000 + Bonus & Benefits An exciting opportunity has become available for an AI/ML Researcher to join an advanced research and innovation team developing next-generation Artificial Intelligence solutions for complex Defence, National Security and commercial challenges. This role … both technical and non-technical audiences Experience producing technical reports or research documentation Publications, open-source contributions or recognised research within AI/ML would be highly advantageous but not essential Must be eligible for Security Clearance (SC) and able to satisfy UK security vetting requirements ...

quality and real-world impact are prioritised. The Company They are a scaling, data-led business with a strong focus on leveraging AI and machine learning to enhance their products and services. With a modern technology stack and a clear roadmap for growth, they are building out their … processes Your Skills and Experience Strong commercial experience building and deploying AI and machine learning solutions Advanced proficiency in Python and modern ML libraries and frameworks Experience working with cloud platforms and scalable data systems Understanding of MLOps, model lifecycle, and deployment best practices Ability to collaborate effectively ...

public safety sector. The Opportunity We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. … particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. Key Responsibilities Develop machine learning models and inference systems using complex sensor and telemetry data. Analyse multivariate time-series datasets to identify behavioural patterns and operational insights. ...

home) Salary: £40,000 - £45,000 dependent on experience Ref: J13156 A global technology organisation is seeking a Data Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world operational challenges. This isn't a role where your work disappears into reports. This … insights support operational decision-making, while continuing to develop your technical capability in a complex real-world environment. You'll be involved in: ·Developing machine learning models to improve forecasting and operational planning ·Applying time-series analysis and feature engineering techniques across large datasets ·Building and improving discrete ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in BigQuery, supporting ML teams … Nice to Have Experience with additional GCP services, such as: Cloud Run Cloud SQL Cloud Scheduler Exposure to machine learning workflows (not ML engineering) Some pharma or life sciences experience, or a genuine interest in working with domain-specific scientific data Please send your ...

Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model … teams through coaching, succession planning and recruitment. About you Significant leadership experience in AI Engineering within a fast‐paced technology environment. Strong expertise in machine learning, MLOps, generative AI, LLMs, AI platforms and cloud technologies (e.g. Microsoft Azure AI/AzureML). Proven experience implementing AI engineering standards ...

Technical Lead, Machine Learning, you own the execution layer of A1's intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real … world constraints. What You'll Do Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency ...

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ...