Software Engineer Hampshire/Hybrid - 2 days per week onsite £60,000 - 65,000 per annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems, with opportunities to expand into sensors and robotics. This is a collaborative role requiring strong technical expertise and effective communication across teams. What You'll Bring Degree in a STEM subject or equivalent experience Experience with some of the following: Languages: Python, Java, Rust, JavaScript Cloud: AWS (Azure/GCP beneficial) Containers: Docker, Kubernetes, GPU containerisation Architecture: Microservices, serverless, APIs, edge compute, pub/sub systems (Kafka, MQTT) DevSecOps: Git, CI/CD, Terraform/Ansible, Linux Scripting Proactive mindset, strong problem-solving skills, and ability to work independently or in teams Key Responsibilities Deliver software with product owners and engineering teams Contribute to Agile processes (Scrum, Kanban, SAFe) Ensure quality through testing and code reviews Support and troubleshoot live systems If this Software Engineer role is of interest, apply now or email me at (see below)
Jun 30, 2026
Full time
Software Engineer Hampshire/Hybrid - 2 days per week onsite £60,000 - 65,000 per annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems, with opportunities to expand into sensors and robotics. This is a collaborative role requiring strong technical expertise and effective communication across teams. What You'll Bring Degree in a STEM subject or equivalent experience Experience with some of the following: Languages: Python, Java, Rust, JavaScript Cloud: AWS (Azure/GCP beneficial) Containers: Docker, Kubernetes, GPU containerisation Architecture: Microservices, serverless, APIs, edge compute, pub/sub systems (Kafka, MQTT) DevSecOps: Git, CI/CD, Terraform/Ansible, Linux Scripting Proactive mindset, strong problem-solving skills, and ability to work independently or in teams Key Responsibilities Deliver software with product owners and engineering teams Contribute to Agile processes (Scrum, Kanban, SAFe) Ensure quality through testing and code reviews Support and troubleshoot live systems If this Software Engineer role is of interest, apply now or email me at (see below)
Senior AI Platform Engineer (MLOps / ML Infrastructure) Location: Bristol (On-Site) Job Type: Full-Time, Permanent Salary: Dependent on Experience (DOE) The Opportunity Our client is building next-generation intelligent robotic systems and is seeking a Senior AI Platform Engineer to own and scale the machine learning infrastructure that powers training, deployment and continuous improvement of advanced AI capabilities. This role sits at the intersection of cloud infrastructure, machine learning operations, data engineering and robotics, offering a unique opportunity to shape how advanced AI systems are developed and deployed at scale. The Role You'll be responsible for building the infrastructure and workflows that connect data collection, training, evaluation, deployment and fleet management into a seamless platform. Working closely with AI researchers and robotics engineers, you'll transform complex machine learning workflows into scalable, production-ready systems. Key Responsibilities Build and maintain scalable ML infrastructure Develop containerised training environments Manage cloud GPU orchestration and distributed training Implement experiment tracking and model registries Build automated data processing pipelines Develop model evaluation and deployment workflows Improve developer experience for ML teams Extend CI/CD with ML-specific validation and testing Automate infrastructure provisioning and deployment Requirements Degree in Computer Science, Software Engineering or related discipline 3+ years building cloud, platform, ML or data infrastructure Strong Python development skills Experience with training pipelines and distributed workloads Docker and containerisation expertise Experience with cloud platforms (GCP preferred) Infrastructure-as-Code experience (Terraform preferred) Desirable Experience MLOps for robotics, autonomous systems or embodied AI Kubeflow, SkyPilot or similar tooling ONNX and TensorRT deployment MLflow or experiment tracking platforms Event-driven architectures GPU orchestration and optimisation Simulation and sim-to-real workflows What's on Offer Salary dependent on experience Equity opportunities Private healthcare Conference and training budget Opportunity to build infrastructure powering advanced AI and robotics systems Collaborative and highly technical engineering culture
Jun 30, 2026
Full time
Senior AI Platform Engineer (MLOps / ML Infrastructure) Location: Bristol (On-Site) Job Type: Full-Time, Permanent Salary: Dependent on Experience (DOE) The Opportunity Our client is building next-generation intelligent robotic systems and is seeking a Senior AI Platform Engineer to own and scale the machine learning infrastructure that powers training, deployment and continuous improvement of advanced AI capabilities. This role sits at the intersection of cloud infrastructure, machine learning operations, data engineering and robotics, offering a unique opportunity to shape how advanced AI systems are developed and deployed at scale. The Role You'll be responsible for building the infrastructure and workflows that connect data collection, training, evaluation, deployment and fleet management into a seamless platform. Working closely with AI researchers and robotics engineers, you'll transform complex machine learning workflows into scalable, production-ready systems. Key Responsibilities Build and maintain scalable ML infrastructure Develop containerised training environments Manage cloud GPU orchestration and distributed training Implement experiment tracking and model registries Build automated data processing pipelines Develop model evaluation and deployment workflows Improve developer experience for ML teams Extend CI/CD with ML-specific validation and testing Automate infrastructure provisioning and deployment Requirements Degree in Computer Science, Software Engineering or related discipline 3+ years building cloud, platform, ML or data infrastructure Strong Python development skills Experience with training pipelines and distributed workloads Docker and containerisation expertise Experience with cloud platforms (GCP preferred) Infrastructure-as-Code experience (Terraform preferred) Desirable Experience MLOps for robotics, autonomous systems or embodied AI Kubeflow, SkyPilot or similar tooling ONNX and TensorRT deployment MLflow or experiment tracking platforms Event-driven architectures GPU orchestration and optimisation Simulation and sim-to-real workflows What's on Offer Salary dependent on experience Equity opportunities Private healthcare Conference and training budget Opportunity to build infrastructure powering advanced AI and robotics systems Collaborative and highly technical engineering culture
Job Title: DevOps Engineer Location: Durrington, hybrid Contract Type: Permanent Hours: 37 per week Salary: from £50k About the role We're looking for a forward-thinking DevOps Engineer to play a key role in evolving and enhancing our Azure-based data and application platforms. Joining a collaborative, innovative data platform team, you'll help shape how we build, deploy, and optimise modern cloud-based services that support analytics, machine learning, and application delivery across the organisation. This is a fantastic opportunity for someone who loves automation, thrives in a fast-paced environment, and wants to work with cutting-edge Azure, DevOps, and ML Ops tooling. What you will be responsible for In this role, you'll help drive a culture of automation, reliability, and continuous improvement across our DevOps practices. You will: Design and maintain Azure DevOps pipelines, including reusable templates for data and ML workloads. Implement ML Ops workflows for deploying, monitoring, and retraining models on Azure Databricks. Integrate CI/CD into applications built in Python, C#, and JavaScript. Contribute to application-level development and deployment processes. Automate infrastructure provisioning using Terraform, Bicep, and ARM templates. Build PowerShell automation modules to eliminate manual tasks. Manage secrets, environment variables, and secure access across environments. Monitor system health and deployment performance using Azure Monitor and Log Analytics. Additional Requirements Hybrid working with occasional on-site collaboration days. Participation in an on-call or out-of-hours rota may be required depending on operational needs. Opportunity to work with specialist platforms including Databricks, Azure ML, and enterprise-scale data tools. What you'll bring to the role Essential Strong experience with Azure DevOps, including pipeline and template development. Hands-on experience with ML Ops practices and tools such as Databricks or MLflow. Proficiency in PowerShell, Bash, Azure CLI, and scripting for automation. Experience supporting application development in Python, C#, and JavaScript. Knowledge of Terraform, Bicep, ARM templates, and CI/CD best practice. Azure certification. Desirable Experience with Azure Data Factory, Event Hubs, and Key Vault. Knowledge of agile ways of working and DevOps culture. Southern Water is at the forefront of transforming Britain's water industry, investing significantly to enhance resilience, sustainability, and service excellence. With £7.8bn planned investment for 2025-30, this is an unparalleled opportunity to join a business committed to delivering a generational shift in the way water services are managed. You will be joining at a time of significant change, working alongside a highly skilled leadership team with a clear vision for the future. We offer an environment where senior professionals can make a meaningful impact, influence major strategic decisions, and drive long-term value creation Our Commitment to Diversity We welcome applicants from all backgrounds, identities, and experiences. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. If you need reasonable adjustments during the recruitment process, please let us know. Additional information: In line with Southern Water's security requirements, successful candidates will be required to provide evidence of their identity, eligibility to work in the UK, criminal record check (DBS) and verification of their employment and/or education history for the past three years. Appointment to this role is subject to the successful completion of all pre-employment checks, including security vetting. Please note that if a candidate does not meet the required security standards or fails to pass the vetting process, Southern Water reserves the right to withdraw the offer of employment. Some positions may also require higher levels of security vetting, which may involve providing additional documentation.
Jun 30, 2026
Full time
Job Title: DevOps Engineer Location: Durrington, hybrid Contract Type: Permanent Hours: 37 per week Salary: from £50k About the role We're looking for a forward-thinking DevOps Engineer to play a key role in evolving and enhancing our Azure-based data and application platforms. Joining a collaborative, innovative data platform team, you'll help shape how we build, deploy, and optimise modern cloud-based services that support analytics, machine learning, and application delivery across the organisation. This is a fantastic opportunity for someone who loves automation, thrives in a fast-paced environment, and wants to work with cutting-edge Azure, DevOps, and ML Ops tooling. What you will be responsible for In this role, you'll help drive a culture of automation, reliability, and continuous improvement across our DevOps practices. You will: Design and maintain Azure DevOps pipelines, including reusable templates for data and ML workloads. Implement ML Ops workflows for deploying, monitoring, and retraining models on Azure Databricks. Integrate CI/CD into applications built in Python, C#, and JavaScript. Contribute to application-level development and deployment processes. Automate infrastructure provisioning using Terraform, Bicep, and ARM templates. Build PowerShell automation modules to eliminate manual tasks. Manage secrets, environment variables, and secure access across environments. Monitor system health and deployment performance using Azure Monitor and Log Analytics. Additional Requirements Hybrid working with occasional on-site collaboration days. Participation in an on-call or out-of-hours rota may be required depending on operational needs. Opportunity to work with specialist platforms including Databricks, Azure ML, and enterprise-scale data tools. What you'll bring to the role Essential Strong experience with Azure DevOps, including pipeline and template development. Hands-on experience with ML Ops practices and tools such as Databricks or MLflow. Proficiency in PowerShell, Bash, Azure CLI, and scripting for automation. Experience supporting application development in Python, C#, and JavaScript. Knowledge of Terraform, Bicep, ARM templates, and CI/CD best practice. Azure certification. Desirable Experience with Azure Data Factory, Event Hubs, and Key Vault. Knowledge of agile ways of working and DevOps culture. Southern Water is at the forefront of transforming Britain's water industry, investing significantly to enhance resilience, sustainability, and service excellence. With £7.8bn planned investment for 2025-30, this is an unparalleled opportunity to join a business committed to delivering a generational shift in the way water services are managed. You will be joining at a time of significant change, working alongside a highly skilled leadership team with a clear vision for the future. We offer an environment where senior professionals can make a meaningful impact, influence major strategic decisions, and drive long-term value creation Our Commitment to Diversity We welcome applicants from all backgrounds, identities, and experiences. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. If you need reasonable adjustments during the recruitment process, please let us know. Additional information: In line with Southern Water's security requirements, successful candidates will be required to provide evidence of their identity, eligibility to work in the UK, criminal record check (DBS) and verification of their employment and/or education history for the past three years. Appointment to this role is subject to the successful completion of all pre-employment checks, including security vetting. Please note that if a candidate does not meet the required security standards or fails to pass the vetting process, Southern Water reserves the right to withdraw the offer of employment. Some positions may also require higher levels of security vetting, which may involve providing additional documentation.
Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
Jun 30, 2026
Full time
Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.
Jun 30, 2026
Full time
Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.
Location: Gloucester (Full-time on-site) Salary: Competitive DOE + 6% Bonus, 25 Days Holiday, Clearance Bonus Security Clearance: Active Enhanced DV Clearance Required Key Skills: Team Leadership, Customer Engagement, Data Science, DevOps, Cloud, Data Platforms Who We Are? We are a leading technology company specialising in mission-centric solutions, designing and delivering cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will You Be Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management to drive successful project execution Apply practical data science skills through hands-on development Work on complex, technically challenging projects at the cutting edge of the industry Communicate effectively with internal and external stakeholders What Are We Looking For? We are seeking individuals with experience in one or more of the following areas: Building and designing scalable data platforms Data visualisation and techniques for data extraction Machine learning and advanced data analytics Proficiency in programming languages such as Python, Java, or C++ DevOps techniques and cloud technologies Agile methodologies and team leadership Strong stakeholder and customer engagement skills This role offers a unique opportunity to work on impactful projects, lead innovative teams, and drive digital transformation in a secure, high-stakes environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.
Jun 30, 2026
Full time
Location: Gloucester (Full-time on-site) Salary: Competitive DOE + 6% Bonus, 25 Days Holiday, Clearance Bonus Security Clearance: Active Enhanced DV Clearance Required Key Skills: Team Leadership, Customer Engagement, Data Science, DevOps, Cloud, Data Platforms Who We Are? We are a leading technology company specialising in mission-centric solutions, designing and delivering cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will You Be Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management to drive successful project execution Apply practical data science skills through hands-on development Work on complex, technically challenging projects at the cutting edge of the industry Communicate effectively with internal and external stakeholders What Are We Looking For? We are seeking individuals with experience in one or more of the following areas: Building and designing scalable data platforms Data visualisation and techniques for data extraction Machine learning and advanced data analytics Proficiency in programming languages such as Python, Java, or C++ DevOps techniques and cloud technologies Agile methodologies and team leadership Strong stakeholder and customer engagement skills This role offers a unique opportunity to work on impactful projects, lead innovative teams, and drive digital transformation in a secure, high-stakes environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.
ESSENTIAL ROLES & RESPONSIBILITIES Identify and understand customer data-centric use cases within regulated financial services environments Design and implement data ingestion, processing, and transformation pipelines on Azure Build and maintain data pipelines for cleaning, normalisation, enrichment, and preparation Apply appropriate data modelling techniques and architecture patterns, with a strong focus on medallion architecture Orchestrate, monitor, and optimise Azure Databricks jobs and Azure Data Factory pipelines across development, UAT, and production environments Configure platforms, clusters, and compute resources to optimise performance, cost, and reliability Use automated CI/CD pipelines to manage, deploy, and version data artefacts and pipelines Operationalise workflows developed by analysts and data scientists Support customers in adopting Azure data, analytics, and machine learning services Ensure secure storage, processing, and quality of customer data Ensure networking and security best practices are applied when designing and operating data solutions Design solutions for processing large volumes of data using batch and streaming approaches Collaborate with analytics teams on data visualisation best practices and reporting enablement Ensure all solutions are well-documented, including pipelines, schemas, transformations, and operational runbooks GOVERNANCE & REPORTING Maintain accurate documentation of data pipelines, schemas, transformations, and deployment processes Support data governance initiatives including lineage, metadata management, and access control Contribute to service reporting, risk tracking, and continuous improvement actions Ensure data environments are audit-ready and aligned with governance standards TECHNOLOGY STACK (AZURE) Cloud Platform: Microsoft Azure Data Engineering & Analytics: Azure Databricks (development, UAT, and production) Azure Data Factory Azure Synapse Analytics (where applicable) Machine Learning & AI : Azure Machine Learning (limited non-production usage) Azure Document Intelligence Databases: Microsoft SQL Server / Azure SQL Database (primary platforms) PostgreSQL (limited use) MySQL (limited use) Data Processing: Batch and streaming data pipelines Security & Governance: Role-based access control (RBAC) Data encryption and key management Audit logging and monitoring DevOps: CI/CD pipelines for data artefacts and infrastructure BEHAVIOURAL COMPETENCIES - ORGANISATIONAL & BEHAVIOURAL FIT Positive mindset and enthusiasm for learning new technologies Collaborative and supportive team player Strong sense of ownership and accountability Methodical, analytical approach to problem-solving Strong understanding of ethical data usage in regulated environments CRITICAL COMPETENCIES - TECHNICAL FIT Essential: Strong SQL skills Programming experience with Python and/or Scala Hands-on experience with Azure-based data platforms Experience designing, building, and maintaining data pipelines Strong understanding of data modelling (relational and analytical), including medallion architecture Experience orchestrating and optimising Databricks and Data Factory workloads Experience using CI/CD pipelines for data and analytics solutions Strong awareness of security, networking best practices, GDPR, and PII handling Desirable: Experience with Azure Databricks in production environments Familiarity with Azure Machine Learning and AI services Exposure to data visualisation tools (e.g. Power BI) Experience with big data frameworks (Spark, Kafka) Knowledge of data governance, lineage, and metadata tooling SHIFT & WORKING PATTERN Standard business hours, with participation in an on-call rota as required Occasional weekend engineering coverage will be required, typically limited to a small number of planned weekends per year to support business continuity, resilience testing, or disaster recovery activities
Jun 30, 2026
Full time
ESSENTIAL ROLES & RESPONSIBILITIES Identify and understand customer data-centric use cases within regulated financial services environments Design and implement data ingestion, processing, and transformation pipelines on Azure Build and maintain data pipelines for cleaning, normalisation, enrichment, and preparation Apply appropriate data modelling techniques and architecture patterns, with a strong focus on medallion architecture Orchestrate, monitor, and optimise Azure Databricks jobs and Azure Data Factory pipelines across development, UAT, and production environments Configure platforms, clusters, and compute resources to optimise performance, cost, and reliability Use automated CI/CD pipelines to manage, deploy, and version data artefacts and pipelines Operationalise workflows developed by analysts and data scientists Support customers in adopting Azure data, analytics, and machine learning services Ensure secure storage, processing, and quality of customer data Ensure networking and security best practices are applied when designing and operating data solutions Design solutions for processing large volumes of data using batch and streaming approaches Collaborate with analytics teams on data visualisation best practices and reporting enablement Ensure all solutions are well-documented, including pipelines, schemas, transformations, and operational runbooks GOVERNANCE & REPORTING Maintain accurate documentation of data pipelines, schemas, transformations, and deployment processes Support data governance initiatives including lineage, metadata management, and access control Contribute to service reporting, risk tracking, and continuous improvement actions Ensure data environments are audit-ready and aligned with governance standards TECHNOLOGY STACK (AZURE) Cloud Platform: Microsoft Azure Data Engineering & Analytics: Azure Databricks (development, UAT, and production) Azure Data Factory Azure Synapse Analytics (where applicable) Machine Learning & AI : Azure Machine Learning (limited non-production usage) Azure Document Intelligence Databases: Microsoft SQL Server / Azure SQL Database (primary platforms) PostgreSQL (limited use) MySQL (limited use) Data Processing: Batch and streaming data pipelines Security & Governance: Role-based access control (RBAC) Data encryption and key management Audit logging and monitoring DevOps: CI/CD pipelines for data artefacts and infrastructure BEHAVIOURAL COMPETENCIES - ORGANISATIONAL & BEHAVIOURAL FIT Positive mindset and enthusiasm for learning new technologies Collaborative and supportive team player Strong sense of ownership and accountability Methodical, analytical approach to problem-solving Strong understanding of ethical data usage in regulated environments CRITICAL COMPETENCIES - TECHNICAL FIT Essential: Strong SQL skills Programming experience with Python and/or Scala Hands-on experience with Azure-based data platforms Experience designing, building, and maintaining data pipelines Strong understanding of data modelling (relational and analytical), including medallion architecture Experience orchestrating and optimising Databricks and Data Factory workloads Experience using CI/CD pipelines for data and analytics solutions Strong awareness of security, networking best practices, GDPR, and PII handling Desirable: Experience with Azure Databricks in production environments Familiarity with Azure Machine Learning and AI services Exposure to data visualisation tools (e.g. Power BI) Experience with big data frameworks (Spark, Kafka) Knowledge of data governance, lineage, and metadata tooling SHIFT & WORKING PATTERN Standard business hours, with participation in an on-call rota as required Occasional weekend engineering coverage will be required, typically limited to a small number of planned weekends per year to support business continuity, resilience testing, or disaster recovery activities
Senior Product Manager - Fraud - SC Cleared We are looking for an experienced Senior Product Manager to join a high-impact fraud-focused product team within a complex digital environment. This role will shape the tools, capabilities and decisions used to protect users, services and public money. You will need to be highly effective at prioritisation, able to translate needs and risks into meaningful outcomes, and confident building technical understanding quickly so you can work closely with engineers and make strong product decisions. Due to the nature of the role, active SC clearance is required. Key responsibilities Own the vision, roadmap and backlog for fraud tools and capabilities, including detection engines, case management, identity verification, signals and transaction monitoring Prioritise work based on fraud risk, data insights, user impact, operational cost and technical constraints Define and track key fraud and product KPIs, including detection rate, false positive rate, user friction and loss avoidance Translate fraud typologies and emerging risks into product features, controls and decisioning logic Drive continuous improvement through live data, experimentation and feedback loops Work closely with engineers to understand systems, data flows and technical constraints Collaborate with fraud operations teams to improve workflows, alert triage and investigation tooling Work with data and analytics teams to shape the use of signals, scoring and models in fraud decision-making Manage stakeholders across product, engineering, operations, risk, security and delivery Ensure products meet relevant security, privacy, regulatory and data requirements Lead agile delivery, including backlog refinement, sprint planning and release prioritisation Support supplier and vendor management across fraud platforms and data providers Essential experience SC Clearance - used in last 12 months Experience delivering fraud or financial crime products or tooling Background in banking, fintech, public sector or another complex regulated environment Strong prioritisation skills, with a focus on delivering the highest-value outcomes Understanding of fraud detection approaches, including rules-based systems, analytics and machine learning Experience working with transaction data, identity signals and risk-scoring models Ability to quickly understand technical systems, architecture and constraints Strong experience using data to inform decisions and improve live products Ability to balance fraud prevention, user experience and operational cost Strong stakeholder management and communication skills Experience working in agile, multidisciplinary teams This is an opportunity to work on a complex and meaningful product area where your decisions will have a direct impact on fraud prevention, user protection and service performance.
Jun 30, 2026
Contractor
Senior Product Manager - Fraud - SC Cleared We are looking for an experienced Senior Product Manager to join a high-impact fraud-focused product team within a complex digital environment. This role will shape the tools, capabilities and decisions used to protect users, services and public money. You will need to be highly effective at prioritisation, able to translate needs and risks into meaningful outcomes, and confident building technical understanding quickly so you can work closely with engineers and make strong product decisions. Due to the nature of the role, active SC clearance is required. Key responsibilities Own the vision, roadmap and backlog for fraud tools and capabilities, including detection engines, case management, identity verification, signals and transaction monitoring Prioritise work based on fraud risk, data insights, user impact, operational cost and technical constraints Define and track key fraud and product KPIs, including detection rate, false positive rate, user friction and loss avoidance Translate fraud typologies and emerging risks into product features, controls and decisioning logic Drive continuous improvement through live data, experimentation and feedback loops Work closely with engineers to understand systems, data flows and technical constraints Collaborate with fraud operations teams to improve workflows, alert triage and investigation tooling Work with data and analytics teams to shape the use of signals, scoring and models in fraud decision-making Manage stakeholders across product, engineering, operations, risk, security and delivery Ensure products meet relevant security, privacy, regulatory and data requirements Lead agile delivery, including backlog refinement, sprint planning and release prioritisation Support supplier and vendor management across fraud platforms and data providers Essential experience SC Clearance - used in last 12 months Experience delivering fraud or financial crime products or tooling Background in banking, fintech, public sector or another complex regulated environment Strong prioritisation skills, with a focus on delivering the highest-value outcomes Understanding of fraud detection approaches, including rules-based systems, analytics and machine learning Experience working with transaction data, identity signals and risk-scoring models Ability to quickly understand technical systems, architecture and constraints Strong experience using data to inform decisions and improve live products Ability to balance fraud prevention, user experience and operational cost Strong stakeholder management and communication skills Experience working in agile, multidisciplinary teams This is an opportunity to work on a complex and meaningful product area where your decisions will have a direct impact on fraud prevention, user protection and service performance.
We are looking for a Machine Learning Ops Engineer to help operationalise machine learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value click apply for full job details
Jun 30, 2026
Contractor
We are looking for a Machine Learning Ops Engineer to help operationalise machine learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value click apply for full job details
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
Jun 30, 2026
Full time
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
Senior Azure Engineer Travel Requirement: Regular travel to the Channel Islands will be required, typically one to two days per week during the first six months (and potentially beyond), as part of supporting a key customer engagement. Applicants should be willing and able to travel regularly. Shape the Future of Cloud Transformation Are you an experienced Azure professional who enjoys solving complex technical challenges while building trusted relationships with customers? We're looking for a Senior Azure Engineer to join our growing Technical Services team. This is an exciting opportunity for someone who combines deep Microsoft Azure expertise with a consultative mindset, helping customers design, deliver and optimise secure, scalable cloud solutions that make a real business impact. You'll work with a wide variety of customers, leading cloud transformation projects from discovery through to delivery, while collaborating with talented engineers, security specialists and pre-sales teams. If you enjoy working with cutting-edge Microsoft technologies, influencing technical strategy and delivering outstanding customer outcomes, we'd love to hear from you. What You'll Be Doing As a Senior Azure Engineer, you'll be responsible for: Designing and delivering enterprise-scale Microsoft Azure and hybrid cloud solutions. Leading customer workshops, technical discovery sessions and architecture discussions. Creating secure, resilient and cost-effective cloud platforms aligned to customer needs. Implementing Infrastructure as Code using Terraform or Azure Bicep. Driving automation, governance and DevOps best practices. Leading cloud migration and modernisation projects. Optimising Azure environments for performance, security and cost efficiency. Implementing Azure security best practices including Azure Policy, Azure Key Vault, Defender for Cloud and RBAC. Supporting pre-sales activities including technical scoping, effort estimation and proposal development. Collaborating closely with engineering, security and service teams to deliver exceptional customer outcomes. Mentoring junior engineers and promoting Azure and DevOps best practices across the team. Regular travel to customer sites will form part of this role, including frequent travel to the Channel Islands during the initial phase of a key customer engagement. What We're Looking For You'll be an experienced Azure Consultant or Cloud Engineer who enjoys both the technical and customer-facing aspects of the role. You'll have experience in: Designing, implementing and supporting enterprise Microsoft Azure environments. Building secure hybrid cloud solutions. Azure Virtual Machines, App Services, Azure Kubernetes Service (AKS), Virtual Networks, ExpressRoute and Load Balancers. Microsoft Entra ID, Conditional Access and Identity Governance. Infrastructure as Code using Terraform, Azure Bicep or ARM Templates. Azure DevOps and/or GitHub Actions. PowerShell, Bash or Python scripting. Windows Server administration including Active Directory, DNS, DHCP and Group Policy. Azure Monitor, Log Analytics and monitoring solutions. Cloud migration, optimisation and governance. You'll also be someone who can confidently engage with customers, challenge requirements where appropriate and build trusted relationships with both technical and non-technical stakeholders. About You We're looking for someone who is: Passionate about cloud technologies and continuous learning. Customer-focused with excellent communication skills. Comfortable presenting technical solutions to stakeholders at all levels. A proactive problem solver who enjoys tackling complex challenges. Collaborative and enjoys working alongside engineers, architects and security specialists. Happy mentoring and supporting junior colleagues. Organised, adaptable and able to manage multiple customer engagements. Desirable Skills It would be advantageous if you also have experience with: Docker and Kubernetes. Azure File Sync and hybrid storage. IIS administration. Enterprise Linux (Ubuntu or RHEL). Configuration management tools such as Ansible. Advanced PowerShell automation. Azure cost management and governance. Preferred Certifications Whilst certifications are not essential, the following would be highly desirable: Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) Windows Server certifications (or equivalent practical experience) Why Join Us? This is an opportunity to join a collaborative, forward-thinking technical team where you'll have the autonomy to influence cloud strategy, work with the latest Microsoft technologies and help customers transform their environments. We invest in our people through continuous learning and professional development, offering exposure to varied and exciting customer projects across cloud, hybrid infrastructure and modern DevOps practices. If you're looking for a role where you can combine deep technical expertise with customer consultancy, while making a real impact on cloud transformation projects, we'd love to hear from you. Ready to take the next step in your Azure career? Apply today and help us build the next generation of cloud solutions. Senior Azure Engineer
Jun 29, 2026
Full time
Senior Azure Engineer Travel Requirement: Regular travel to the Channel Islands will be required, typically one to two days per week during the first six months (and potentially beyond), as part of supporting a key customer engagement. Applicants should be willing and able to travel regularly. Shape the Future of Cloud Transformation Are you an experienced Azure professional who enjoys solving complex technical challenges while building trusted relationships with customers? We're looking for a Senior Azure Engineer to join our growing Technical Services team. This is an exciting opportunity for someone who combines deep Microsoft Azure expertise with a consultative mindset, helping customers design, deliver and optimise secure, scalable cloud solutions that make a real business impact. You'll work with a wide variety of customers, leading cloud transformation projects from discovery through to delivery, while collaborating with talented engineers, security specialists and pre-sales teams. If you enjoy working with cutting-edge Microsoft technologies, influencing technical strategy and delivering outstanding customer outcomes, we'd love to hear from you. What You'll Be Doing As a Senior Azure Engineer, you'll be responsible for: Designing and delivering enterprise-scale Microsoft Azure and hybrid cloud solutions. Leading customer workshops, technical discovery sessions and architecture discussions. Creating secure, resilient and cost-effective cloud platforms aligned to customer needs. Implementing Infrastructure as Code using Terraform or Azure Bicep. Driving automation, governance and DevOps best practices. Leading cloud migration and modernisation projects. Optimising Azure environments for performance, security and cost efficiency. Implementing Azure security best practices including Azure Policy, Azure Key Vault, Defender for Cloud and RBAC. Supporting pre-sales activities including technical scoping, effort estimation and proposal development. Collaborating closely with engineering, security and service teams to deliver exceptional customer outcomes. Mentoring junior engineers and promoting Azure and DevOps best practices across the team. Regular travel to customer sites will form part of this role, including frequent travel to the Channel Islands during the initial phase of a key customer engagement. What We're Looking For You'll be an experienced Azure Consultant or Cloud Engineer who enjoys both the technical and customer-facing aspects of the role. You'll have experience in: Designing, implementing and supporting enterprise Microsoft Azure environments. Building secure hybrid cloud solutions. Azure Virtual Machines, App Services, Azure Kubernetes Service (AKS), Virtual Networks, ExpressRoute and Load Balancers. Microsoft Entra ID, Conditional Access and Identity Governance. Infrastructure as Code using Terraform, Azure Bicep or ARM Templates. Azure DevOps and/or GitHub Actions. PowerShell, Bash or Python scripting. Windows Server administration including Active Directory, DNS, DHCP and Group Policy. Azure Monitor, Log Analytics and monitoring solutions. Cloud migration, optimisation and governance. You'll also be someone who can confidently engage with customers, challenge requirements where appropriate and build trusted relationships with both technical and non-technical stakeholders. About You We're looking for someone who is: Passionate about cloud technologies and continuous learning. Customer-focused with excellent communication skills. Comfortable presenting technical solutions to stakeholders at all levels. A proactive problem solver who enjoys tackling complex challenges. Collaborative and enjoys working alongside engineers, architects and security specialists. Happy mentoring and supporting junior colleagues. Organised, adaptable and able to manage multiple customer engagements. Desirable Skills It would be advantageous if you also have experience with: Docker and Kubernetes. Azure File Sync and hybrid storage. IIS administration. Enterprise Linux (Ubuntu or RHEL). Configuration management tools such as Ansible. Advanced PowerShell automation. Azure cost management and governance. Preferred Certifications Whilst certifications are not essential, the following would be highly desirable: Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) Windows Server certifications (or equivalent practical experience) Why Join Us? This is an opportunity to join a collaborative, forward-thinking technical team where you'll have the autonomy to influence cloud strategy, work with the latest Microsoft technologies and help customers transform their environments. We invest in our people through continuous learning and professional development, offering exposure to varied and exciting customer projects across cloud, hybrid infrastructure and modern DevOps practices. If you're looking for a role where you can combine deep technical expertise with customer consultancy, while making a real impact on cloud transformation projects, we'd love to hear from you. Ready to take the next step in your Azure career? Apply today and help us build the next generation of cloud solutions. Senior Azure Engineer
Data Scientist Hybrid Herne Hill, South London Full-Time £54,000 £58,000 P.A. D.O.E. Want to work on the kind of data science problems most companies can t solve? An innovative, fast-growing data science business is looking for a Data Scientist to join its highly technical team. Founded as a spin-out from a world-leading university research group, this is a rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. This is not a generic machine learning role and it s not another business building around off-the-shelf AI. This organisation has built its reputation on proprietary Bayesian tools and deep scientific capability, using advanced sampling methods and modern AI technologies to tackle problems that standard approaches can t. If you enjoy difficult technical challenges, rigorous thinking and working at the intersection of research and commercial impact, this is a role worth exploring. The Data Scientist Opportunity As a Data Scientist, you ll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications. You ll contribute to both client-facing work and the development of the company s core technology, collaborating with a team that values curiosity, experimentation and technical depth. You ll also have the chance to take part in regular research workshops with academic collaborators, helping shape the future direction of the company s science while working on projects with real-world value. What You ll Be Doing Develop and deliver advanced data science, sampling and machine learning solutions Apply Bayesian inference and statistical modelling to complex scientific and industrial challenges Build robust, well-tested code and clear technical documentation Work with proprietary Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute to the development of the company s core scientific and technical capabilities Collaborate with clients, research partners and internal technical teams Take part in regular research workshops with leading academic collaborators What We re Looking For We re looking for a technically strong, intellectually curious Data Scientist who enjoys solving difficult problems and working in a research-driven environment. Essential: PhD in Physics, Astrophysics, Mathematics, Statistics, Computer Science or another highly quantitative discipline Strong knowledge of Bayesian statistics and probabilistic modelling Advanced Python programming skills Experience with Git and software development best practice Excellent analytical, mathematical and problem-solving skills Desirable: 1 2 years industry experience in a relevant data science, research or modelling role Experience in machine learning, optimisation or scientific computing Knowledge of Fortran, C or C++ Experience working with large, complex or high-dimensional datasets Why Join? This is an opportunity to do meaningful, intellectually challenging work in a company that combines serious scientific depth with real commercial application. You ll join a collaborative, highly technical team where new ideas are welcomed, curiosity is encouraged and your work can directly influence both client outcomes and the future direction of the business. Benefits £54,000 £58,000 per annum depending on qualifications and experience Hybrid and flexible working with a minimum of 1 day per week in the office 25 days annual leave, plus 8 UK bank holidays 5% employer pension contribution Confidential Employee Assistance Programme, including 24/7 virtual GP access for you and your household Cycle to Work scheme Access to an employee discounts platform with retail, technology and lifestyle savings The chance to work on cutting-edge research and commercial data science projects A collaborative, research-driven environment with genuine scope to grow What s Next? To be considered, please submit your CV along with a link to your GitHub profile, coding portfolio, publications or other examples of technical work. Candidates with experience as a Data Scientist, Machine Learning Engineer, Quantitative Analyst, Statistician, Computational Scientist, Research Scientist or in a similar advanced technical role are encouraged to apply.
Jun 29, 2026
Full time
Data Scientist Hybrid Herne Hill, South London Full-Time £54,000 £58,000 P.A. D.O.E. Want to work on the kind of data science problems most companies can t solve? An innovative, fast-growing data science business is looking for a Data Scientist to join its highly technical team. Founded as a spin-out from a world-leading university research group, this is a rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. This is not a generic machine learning role and it s not another business building around off-the-shelf AI. This organisation has built its reputation on proprietary Bayesian tools and deep scientific capability, using advanced sampling methods and modern AI technologies to tackle problems that standard approaches can t. If you enjoy difficult technical challenges, rigorous thinking and working at the intersection of research and commercial impact, this is a role worth exploring. The Data Scientist Opportunity As a Data Scientist, you ll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications. You ll contribute to both client-facing work and the development of the company s core technology, collaborating with a team that values curiosity, experimentation and technical depth. You ll also have the chance to take part in regular research workshops with academic collaborators, helping shape the future direction of the company s science while working on projects with real-world value. What You ll Be Doing Develop and deliver advanced data science, sampling and machine learning solutions Apply Bayesian inference and statistical modelling to complex scientific and industrial challenges Build robust, well-tested code and clear technical documentation Work with proprietary Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute to the development of the company s core scientific and technical capabilities Collaborate with clients, research partners and internal technical teams Take part in regular research workshops with leading academic collaborators What We re Looking For We re looking for a technically strong, intellectually curious Data Scientist who enjoys solving difficult problems and working in a research-driven environment. Essential: PhD in Physics, Astrophysics, Mathematics, Statistics, Computer Science or another highly quantitative discipline Strong knowledge of Bayesian statistics and probabilistic modelling Advanced Python programming skills Experience with Git and software development best practice Excellent analytical, mathematical and problem-solving skills Desirable: 1 2 years industry experience in a relevant data science, research or modelling role Experience in machine learning, optimisation or scientific computing Knowledge of Fortran, C or C++ Experience working with large, complex or high-dimensional datasets Why Join? This is an opportunity to do meaningful, intellectually challenging work in a company that combines serious scientific depth with real commercial application. You ll join a collaborative, highly technical team where new ideas are welcomed, curiosity is encouraged and your work can directly influence both client outcomes and the future direction of the business. Benefits £54,000 £58,000 per annum depending on qualifications and experience Hybrid and flexible working with a minimum of 1 day per week in the office 25 days annual leave, plus 8 UK bank holidays 5% employer pension contribution Confidential Employee Assistance Programme, including 24/7 virtual GP access for you and your household Cycle to Work scheme Access to an employee discounts platform with retail, technology and lifestyle savings The chance to work on cutting-edge research and commercial data science projects A collaborative, research-driven environment with genuine scope to grow What s Next? To be considered, please submit your CV along with a link to your GitHub profile, coding portfolio, publications or other examples of technical work. Candidates with experience as a Data Scientist, Machine Learning Engineer, Quantitative Analyst, Statistician, Computational Scientist, Research Scientist or in a similar advanced technical role are encouraged to apply.
About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Jun 29, 2026
Full time
About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Lead DevOps Engineer (Hybrid - London) Location: London (Hybrid: 3 days per week on-site) Security Clearance Required: Active, live SC Clearance or DV Clearance (Mandatory) Position Type: Permanent CRITICAL REQUIREMENT - PLEASE READ BEFORE APPLYING: Due to the secure nature of the client's platform and infrastructure projects, this position strictly requires candidates to hold a currently active and live UK Security Clearance (SC or DV) . Candidates who do not currently possess this clearance, or whose clearance has lapsed, cannot be considered for this role. Please do not apply if you do not hold active SC or DV status. The Opportunity I am exclusively partnering with a pioneering, high-growth technology vendor specializing in secure, enterprise-level cloud platforms and AI-integrated software solutions. They engineer bespoke architectures that solve highly complex data, automation, and infrastructure challenges for specialized clients across secure sectors. As they expand their technical division, they are seeking a high-caliber Lead DevOps Engineer who can seamlessly balance technical architecture, strategic stakeholder alignment, and hands-on delivery. This is a dynamic, fast-paced role where you will play a pivotal part in scaling a modern DevSecOps function and fostering a high-performance engineering culture across their London hub. The Role & Responsibilities This position offers a fluid mix of team leadership, technical architecture, and hands-on systems engineering. Working on-site in London three days a week, you will lead an agile squad, driving continuous innovation and transforming complex customer requirements into resilient, secure platform solutions. Technical Vision & AI Delivery: Collaborate with senior engineering leadership to design and execute robust cloud infrastructure architectures, with a specific focus on deploying and scaling modern AI solutions. Team Leadership & Coaching: Act as a technical mentor and culture carrier, coaching a talented squad of engineers in modern DevSecOps best practices, automation, and continuous improvement. Client & Product Alignment: Interface directly with key clients and technical stakeholders to refine product definitions, troubleshoot complex platform issues, and ensure deliveries map directly to strategic goals. Architecture & API Integrity: Work alongside Product Managers and Delivery Leads to design clean, scalable microservices architectures utilizing open standards and robust API frameworks. Governance & Compliance: Maintain strict oversight of modern regulatory requirements, infrastructure compliance, and security frameworks to ensure total platform integrity. Pipeline & Resource Strategy: Actively evaluate the engineering roadmap to advise internal stakeholders on technical pipeline bottlenecks, risk mitigation, and optimal team resourcing levels. Requirements & Technical Expertise To be successful in this role, you must bring a blend of strong leadership capability, client-facing confidence, and deep technical breadth across modern cloud ecosystem toolchains. Essential Criteria: Clearance Status: A currently active and live UK SC or DV Clearance is non-negotiable. Technical Depth: Elite proficiency in managing and scaling cloud-native infrastructure, with deep expertise across AWS, Kubernetes, Docker, CI/CD pipelines, Git, and RESTful APIs. Leadership Track Record: Demonstrable experience operating in a Technical Lead, Infrastructure Architect, or Senior DevOps capacity-with the proven ability to build, scale, and mentor an engineering team. Agile & Start-Up Agility: A background thriving within fast-paced, high-growth, or start-up adjacent environments. You must be highly resilient to change and comfortable with fluid, reactive priorities. Hybrid Commute: The ability to work from the client's Central London office 3 days per week . Problem-Solving Mastery: Advanced troubleshooting capabilities with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial mindset with a natural inclination to challenge legacy prototypes and introduce alternative software methodologies. A relevant degree qualification in Computer Science, Software Engineering, or a related field. To Apply: If you hold a live, active SC or DV clearance , meet the technical criteria, and are comfortable with a 3-day-a-week London hybrid model, please apply with your CV today for an immediate, confidential briefing. Reminder: Applications without active UK national security clearance will be automatically rejected.
Jun 27, 2026
Full time
Lead DevOps Engineer (Hybrid - London) Location: London (Hybrid: 3 days per week on-site) Security Clearance Required: Active, live SC Clearance or DV Clearance (Mandatory) Position Type: Permanent CRITICAL REQUIREMENT - PLEASE READ BEFORE APPLYING: Due to the secure nature of the client's platform and infrastructure projects, this position strictly requires candidates to hold a currently active and live UK Security Clearance (SC or DV) . Candidates who do not currently possess this clearance, or whose clearance has lapsed, cannot be considered for this role. Please do not apply if you do not hold active SC or DV status. The Opportunity I am exclusively partnering with a pioneering, high-growth technology vendor specializing in secure, enterprise-level cloud platforms and AI-integrated software solutions. They engineer bespoke architectures that solve highly complex data, automation, and infrastructure challenges for specialized clients across secure sectors. As they expand their technical division, they are seeking a high-caliber Lead DevOps Engineer who can seamlessly balance technical architecture, strategic stakeholder alignment, and hands-on delivery. This is a dynamic, fast-paced role where you will play a pivotal part in scaling a modern DevSecOps function and fostering a high-performance engineering culture across their London hub. The Role & Responsibilities This position offers a fluid mix of team leadership, technical architecture, and hands-on systems engineering. Working on-site in London three days a week, you will lead an agile squad, driving continuous innovation and transforming complex customer requirements into resilient, secure platform solutions. Technical Vision & AI Delivery: Collaborate with senior engineering leadership to design and execute robust cloud infrastructure architectures, with a specific focus on deploying and scaling modern AI solutions. Team Leadership & Coaching: Act as a technical mentor and culture carrier, coaching a talented squad of engineers in modern DevSecOps best practices, automation, and continuous improvement. Client & Product Alignment: Interface directly with key clients and technical stakeholders to refine product definitions, troubleshoot complex platform issues, and ensure deliveries map directly to strategic goals. Architecture & API Integrity: Work alongside Product Managers and Delivery Leads to design clean, scalable microservices architectures utilizing open standards and robust API frameworks. Governance & Compliance: Maintain strict oversight of modern regulatory requirements, infrastructure compliance, and security frameworks to ensure total platform integrity. Pipeline & Resource Strategy: Actively evaluate the engineering roadmap to advise internal stakeholders on technical pipeline bottlenecks, risk mitigation, and optimal team resourcing levels. Requirements & Technical Expertise To be successful in this role, you must bring a blend of strong leadership capability, client-facing confidence, and deep technical breadth across modern cloud ecosystem toolchains. Essential Criteria: Clearance Status: A currently active and live UK SC or DV Clearance is non-negotiable. Technical Depth: Elite proficiency in managing and scaling cloud-native infrastructure, with deep expertise across AWS, Kubernetes, Docker, CI/CD pipelines, Git, and RESTful APIs. Leadership Track Record: Demonstrable experience operating in a Technical Lead, Infrastructure Architect, or Senior DevOps capacity-with the proven ability to build, scale, and mentor an engineering team. Agile & Start-Up Agility: A background thriving within fast-paced, high-growth, or start-up adjacent environments. You must be highly resilient to change and comfortable with fluid, reactive priorities. Hybrid Commute: The ability to work from the client's Central London office 3 days per week . Problem-Solving Mastery: Advanced troubleshooting capabilities with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial mindset with a natural inclination to challenge legacy prototypes and introduce alternative software methodologies. A relevant degree qualification in Computer Science, Software Engineering, or a related field. To Apply: If you hold a live, active SC or DV clearance , meet the technical criteria, and are comfortable with a 3-day-a-week London hybrid model, please apply with your CV today for an immediate, confidential briefing. Reminder: Applications without active UK national security clearance will be automatically rejected.
Senior Software Engineer West Midlands (Hybrid) 45,000 - 65,000 + Bonus + Private Medical + Excellent Benefits Build Technology That Makes a Difference Are you an experienced Software Engineer looking to work on technology with real-world impact? We're working with an innovative engineering and technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they are looking for a Senior Software Engineer to join their engineering team and contribute to the next generation of their technology platform. This is an opportunity to tackle genuinely interesting engineering challenges at the intersection of software, hardware and AI. The Role You'll take ownership of software development across a range of products, with a primary focus on Linux-based systems and Python development. Working closely with software engineers, data scientists and product specialists, you'll contribute to the design, development and deployment of innovative solutions used in demanding real-world environments. This is a highly hands-on role where you'll have significant influence over architecture, technical direction and engineering best practice. Key Responsibilities Develop robust software applications using Python and C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with multidisciplinary engineering teams Drive software quality and engineering best practice What We're Looking For Essential Strong commercial Python development experience Experience developing software on Linux platforms Proven software engineering experience within a product development environment Experience with Git and CI/CD workflows Knowledge of automated testing methodologies Strong communication and collaboration skills Desirable C++ development experience Embedded Linux exposure Machine learning deployment experience MLOps experience NVIDIA Jetson experience Experience developing software that interfaces with hardware Experience within engineering, instrumentation, industrial technology or related product environments About You You'll be a technically strong engineer who enjoys solving complex problems and taking ownership of your work. You'll be comfortable collaborating across teams, contributing ideas and helping shape technical decisions. Whilst this is not a formal management role, we're particularly interested in individuals who can demonstrate leadership qualities and a desire to mentor others. Why Apply? Work on cutting-edge technology with real-world applications Join a growing and innovative engineering business Exposure to AI, machine learning and intelligent systems Significant technical ownership and influence Collaborative and highly skilled engineering team Long-term career progression opportunities Diverse and challenging technical projects If you're a Software Engineer looking to work on innovative products that combine software, hardware and intelligent systems, we'd love to hear from you. Apply now for immediate consideration.
Jun 27, 2026
Full time
Senior Software Engineer West Midlands (Hybrid) 45,000 - 65,000 + Bonus + Private Medical + Excellent Benefits Build Technology That Makes a Difference Are you an experienced Software Engineer looking to work on technology with real-world impact? We're working with an innovative engineering and technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they are looking for a Senior Software Engineer to join their engineering team and contribute to the next generation of their technology platform. This is an opportunity to tackle genuinely interesting engineering challenges at the intersection of software, hardware and AI. The Role You'll take ownership of software development across a range of products, with a primary focus on Linux-based systems and Python development. Working closely with software engineers, data scientists and product specialists, you'll contribute to the design, development and deployment of innovative solutions used in demanding real-world environments. This is a highly hands-on role where you'll have significant influence over architecture, technical direction and engineering best practice. Key Responsibilities Develop robust software applications using Python and C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with multidisciplinary engineering teams Drive software quality and engineering best practice What We're Looking For Essential Strong commercial Python development experience Experience developing software on Linux platforms Proven software engineering experience within a product development environment Experience with Git and CI/CD workflows Knowledge of automated testing methodologies Strong communication and collaboration skills Desirable C++ development experience Embedded Linux exposure Machine learning deployment experience MLOps experience NVIDIA Jetson experience Experience developing software that interfaces with hardware Experience within engineering, instrumentation, industrial technology or related product environments About You You'll be a technically strong engineer who enjoys solving complex problems and taking ownership of your work. You'll be comfortable collaborating across teams, contributing ideas and helping shape technical decisions. Whilst this is not a formal management role, we're particularly interested in individuals who can demonstrate leadership qualities and a desire to mentor others. Why Apply? Work on cutting-edge technology with real-world applications Join a growing and innovative engineering business Exposure to AI, machine learning and intelligent systems Significant technical ownership and influence Collaborative and highly skilled engineering team Long-term career progression opportunities Diverse and challenging technical projects If you're a Software Engineer looking to work on innovative products that combine software, hardware and intelligent systems, we'd love to hear from you. Apply now for immediate consideration.
Position Summary We are seeking motivated and innovative Junior Healthcare AI Specialists to join our team and contribute to the development of advanced artificial intelligence solutions that support healthcare professionals, improve patient outcomes, and enhance operational efficiency across healthcare environments. This role combines expertise in artificial intelligence, data science, and healthcare systems to create technologies that address real world clinical and organizational challenges. Successful candidates will work closely with multidisciplinary teams including clinicians, researchers, software engineers, healthcare administrators, and data professionals to design, implement, and evaluate AI driven solutions. The successful candidate will be responsible for transforming complex healthcare data into meaningful insights, developing machine learning models, supporting clinical decision making, and ensuring that AI systems are safe, reliable, and aligned with ethical and regulatory standards. This position offers an exciting opportunity to apply cutting edge technology in a field where innovation can have a direct and measurable impact on the quality of care provided to patients. Key Responsibilities Design, develop, and deploy AI and machine learning solutions for healthcare applications. Analyze clinical, operational, and patient data to identify opportunities for AI-driven improvements. Build predictive models, decision-support systems, and generative AI applications. Ensure compliance with healthcare regulations, privacy requirements, and ethical AI standards. Monitor deployed AI systems and continuously improve performance and accuracy. Required Qualifications / Skills Bachelor's degree in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a related field. Knowledge of healthcare data systems and electronic health records (EHRs). Understanding of data privacy, security, and healthcare compliance requirements. Ability to communicate complex technical concepts to non-technical stakeholders. Strong analytical and problem-solving skills. Preferred Qualifications / Skills Experience with healthcare AI, clinical analytics, or medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps Cloud Computing Data Engineering Statistical Analysis Core Competencies Cross-functional collaboration Critical thinking Communication skills Project management Continuous learning mindset We welcome applications from motivated individuals who are eager to make a meaningful contribution to healthcare innovation. If you are ready to develop your skills, collaborate with talented professionals, and help create the next generation of AI driven healthcare technologies, we would love to hear from you.
Jun 27, 2026
Full time
Position Summary We are seeking motivated and innovative Junior Healthcare AI Specialists to join our team and contribute to the development of advanced artificial intelligence solutions that support healthcare professionals, improve patient outcomes, and enhance operational efficiency across healthcare environments. This role combines expertise in artificial intelligence, data science, and healthcare systems to create technologies that address real world clinical and organizational challenges. Successful candidates will work closely with multidisciplinary teams including clinicians, researchers, software engineers, healthcare administrators, and data professionals to design, implement, and evaluate AI driven solutions. The successful candidate will be responsible for transforming complex healthcare data into meaningful insights, developing machine learning models, supporting clinical decision making, and ensuring that AI systems are safe, reliable, and aligned with ethical and regulatory standards. This position offers an exciting opportunity to apply cutting edge technology in a field where innovation can have a direct and measurable impact on the quality of care provided to patients. Key Responsibilities Design, develop, and deploy AI and machine learning solutions for healthcare applications. Analyze clinical, operational, and patient data to identify opportunities for AI-driven improvements. Build predictive models, decision-support systems, and generative AI applications. Ensure compliance with healthcare regulations, privacy requirements, and ethical AI standards. Monitor deployed AI systems and continuously improve performance and accuracy. Required Qualifications / Skills Bachelor's degree in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a related field. Knowledge of healthcare data systems and electronic health records (EHRs). Understanding of data privacy, security, and healthcare compliance requirements. Ability to communicate complex technical concepts to non-technical stakeholders. Strong analytical and problem-solving skills. Preferred Qualifications / Skills Experience with healthcare AI, clinical analytics, or medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps Cloud Computing Data Engineering Statistical Analysis Core Competencies Cross-functional collaboration Critical thinking Communication skills Project management Continuous learning mindset We welcome applications from motivated individuals who are eager to make a meaningful contribution to healthcare innovation. If you are ready to develop your skills, collaborate with talented professionals, and help create the next generation of AI driven healthcare technologies, we would love to hear from you.
MLOps Engineer Location: Remote (Occasional travel to their London office) Contract: Inside IR35 Day rate: Up to £800 per day Duration: 6 months Start date: ASAP Key words: Machine Learning, Python, containerization (Docker), CI/CD, Azure As part of our Client's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence. Key Skills: - Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django) - Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker) - Experience with CI/CD pipelines and cloud environments (we use Azure) Assignment Objectives - Implement or improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise GRC contexts. - Create repeatable evidence for monitoring, alerting, response, review and BAU handover. - Ensure MLOps controls are sustainable after the remediation programme closes.
Jun 27, 2026
Contractor
MLOps Engineer Location: Remote (Occasional travel to their London office) Contract: Inside IR35 Day rate: Up to £800 per day Duration: 6 months Start date: ASAP Key words: Machine Learning, Python, containerization (Docker), CI/CD, Azure As part of our Client's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence. Key Skills: - Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django) - Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker) - Experience with CI/CD pipelines and cloud environments (we use Azure) Assignment Objectives - Implement or improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise GRC contexts. - Create repeatable evidence for monitoring, alerting, response, review and BAU handover. - Ensure MLOps controls are sustainable after the remediation programme closes.
Senior Software Engineer Birmingham (Hybrid) Permanent Full-Time Competitive Salary A growing technology business is seeking a Software Engineer to join its engineering team in Birmingham. This is an excellent opportunity for a developer with strong AWS and backend engineering experience who wants exposure to cloud-native systems, IoT integrations, frontend development, DevOps, and AI-powered applications . Key Responsibilities Design, develop, and maintain AWS-based backend microservices Build frontend applications using React and TypeScript Work on IoT integrations including connected edge devices Develop infrastructure using AWS CDK / Infrastructure as Code Support CI/CD pipeline improvements and deployments Contribute to AI / LLM-powered product functionality Collaborate with stakeholders to define and deliver solutions Maintain code quality through code reviews and engineering best practice Technical Environment Languages: TypeScript, Node.js, Python, Go Cloud: AWS Lambda, API Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python, or Go CI/CD and Docker experience Full-stack engineering mindset Strong communication skills Desirable Skills React / TypeScript frontend experience Infrastructure as Code GraphQL / AppSync Event-driven architectures IoT / edge systems AI / machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team environment Competitive salary
Jun 27, 2026
Full time
Senior Software Engineer Birmingham (Hybrid) Permanent Full-Time Competitive Salary A growing technology business is seeking a Software Engineer to join its engineering team in Birmingham. This is an excellent opportunity for a developer with strong AWS and backend engineering experience who wants exposure to cloud-native systems, IoT integrations, frontend development, DevOps, and AI-powered applications . Key Responsibilities Design, develop, and maintain AWS-based backend microservices Build frontend applications using React and TypeScript Work on IoT integrations including connected edge devices Develop infrastructure using AWS CDK / Infrastructure as Code Support CI/CD pipeline improvements and deployments Contribute to AI / LLM-powered product functionality Collaborate with stakeholders to define and deliver solutions Maintain code quality through code reviews and engineering best practice Technical Environment Languages: TypeScript, Node.js, Python, Go Cloud: AWS Lambda, API Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python, or Go CI/CD and Docker experience Full-stack engineering mindset Strong communication skills Desirable Skills React / TypeScript frontend experience Infrastructure as Code GraphQL / AppSync Event-driven architectures IoT / edge systems AI / machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team environment Competitive salary
CBSbutler Holdings Limited trading as CBSbutler
Romsey, Hampshire
Software Engineer Hampshire / Hybrid - 2 days per week onsite 60,000 - 65,000 per annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems, with opportunities to expand into sensors and robotics. This is a collaborative role requiring strong technical expertise and effective communication across teams. What You'll Bring Degree in a STEM subject or equivalent experience Experience with some of the following: Languages: Python, Java, Rust, JavaScript Cloud: AWS (Azure/GCP beneficial) Containers: Docker, Kubernetes, GPU containerisation Architecture: Microservices, serverless, APIs, edge compute, pub/sub systems (Kafka, MQTT) DevSecOps: Git, CI/CD, Terraform/Ansible, Linux scripting Proactive mindset, strong problem-solving skills, and ability to work independently or in teams Key Responsibilities Deliver software with product owners and engineering teams Contribute to Agile processes (Scrum, Kanban, SAFe) Ensure quality through testing and code reviews Support and troubleshoot live systems If this Software Engineer role is of interest, apply now or email me at (url removed)
Jun 26, 2026
Full time
Software Engineer Hampshire / Hybrid - 2 days per week onsite 60,000 - 65,000 per annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems, with opportunities to expand into sensors and robotics. This is a collaborative role requiring strong technical expertise and effective communication across teams. What You'll Bring Degree in a STEM subject or equivalent experience Experience with some of the following: Languages: Python, Java, Rust, JavaScript Cloud: AWS (Azure/GCP beneficial) Containers: Docker, Kubernetes, GPU containerisation Architecture: Microservices, serverless, APIs, edge compute, pub/sub systems (Kafka, MQTT) DevSecOps: Git, CI/CD, Terraform/Ansible, Linux scripting Proactive mindset, strong problem-solving skills, and ability to work independently or in teams Key Responsibilities Deliver software with product owners and engineering teams Contribute to Agile processes (Scrum, Kanban, SAFe) Ensure quality through testing and code reviews Support and troubleshoot live systems If this Software Engineer role is of interest, apply now or email me at (url removed)
Data Engineer Fully Remote 55,000 - 60,000 + Car Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My client is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team. The successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 55,000 - 60,000 per annum 25 day's holiday Company car / Allowance Private medical insurance Variable annual bonus based 5-15% Pension Plan Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making. Lead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives. Demonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes. Ensure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. What experience you need to be the successful Data Engineer: Proficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production. Effective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes. Deep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy. Data-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. This really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Jun 26, 2026
Contractor
Data Engineer Fully Remote 55,000 - 60,000 + Car Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My client is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team. The successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 55,000 - 60,000 per annum 25 day's holiday Company car / Allowance Private medical insurance Variable annual bonus based 5-15% Pension Plan Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making. Lead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives. Demonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes. Ensure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. What experience you need to be the successful Data Engineer: Proficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production. Effective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes. Deep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy. Data-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. This really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
