AI Engineer / AI Solutions Specialist Location: Sheffield HybridType: Permanent Shape the Future of AI in a Growing Business An exciting opportunity has arisen for an AI Engineer / AI Solutions Specialist to join a well-established business embarking on its AI journey.This is a unique chance to become the organisation's first dedicated AI hire, taking ownership of how AI is implemented, governed and adopted across the business. You'll work closely with IT, business stakeholders and senior leadership to identify opportunities for AI-driven innovation, build practical solutions and help establish a long-term AI roadmap.This role would suit someone who enjoys combining hands-on technical delivery with stakeholder engagement and is excited by the opportunity to build AI capability from the ground up. What You'll Be Doing Design, develop and deploy AI-powered solutions across the organisation. Build AI assistants, copilots, intelligent automation tools and knowledge management solutions. Develop Retrieval-Augmented Generation (RAG) solutions using internal business data. Create scalable AI architectures and support the ongoing management of AI platforms and infrastructure. Integrate AI solutions with business-critical systems, including Microsoft 365, SharePoint and other enterprise applications. Work with stakeholders across the business to identify opportunities for automation and AI adoption. Ensure AI solutions operate in line with security, governance and compliance requirements. Monitor performance, usage, reliability and cost of deployed AI solutions. What We're Looking For Commercial experience building and deploying AI or Machine Learning solutions. Strong Python development skills. Experience working with REST APIs and systems integration. Knowledge of LLMs, RAG architectures, vector databases and modern AI frameworks. Experience with AWS cloud services and infrastructure. Familiarity with Docker and Kubernetes. Experience integrating AI solutions with Microsoft technologies such as Microsoft 365, SharePoint or Teams. Strong communication skills and the ability to work with both technical and non-technical stakeholders. Desirable Experience AI governance and responsible AI practices. MLOps or LLMOps environments. Agentic AI frameworks such as LangGraph, CrewAI or AutoGen. AI orchestration tools such as N8N. Data governance and Microsoft Purview. Prompt engineering and model fine-tuning. Why Apply? Opportunity to become the first dedicated AI specialist within the business. Significant autonomy and ownership. Ability to shape AI strategy and influence future technology direction. Broad exposure across technical delivery, stakeholder engagement and innovation. Chance to make a visible impact through the adoption of AI solutions across the organisation. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Aug 12, 2026
Full time
AI Engineer / AI Solutions Specialist Location: Sheffield HybridType: Permanent Shape the Future of AI in a Growing Business An exciting opportunity has arisen for an AI Engineer / AI Solutions Specialist to join a well-established business embarking on its AI journey.This is a unique chance to become the organisation's first dedicated AI hire, taking ownership of how AI is implemented, governed and adopted across the business. You'll work closely with IT, business stakeholders and senior leadership to identify opportunities for AI-driven innovation, build practical solutions and help establish a long-term AI roadmap.This role would suit someone who enjoys combining hands-on technical delivery with stakeholder engagement and is excited by the opportunity to build AI capability from the ground up. What You'll Be Doing Design, develop and deploy AI-powered solutions across the organisation. Build AI assistants, copilots, intelligent automation tools and knowledge management solutions. Develop Retrieval-Augmented Generation (RAG) solutions using internal business data. Create scalable AI architectures and support the ongoing management of AI platforms and infrastructure. Integrate AI solutions with business-critical systems, including Microsoft 365, SharePoint and other enterprise applications. Work with stakeholders across the business to identify opportunities for automation and AI adoption. Ensure AI solutions operate in line with security, governance and compliance requirements. Monitor performance, usage, reliability and cost of deployed AI solutions. What We're Looking For Commercial experience building and deploying AI or Machine Learning solutions. Strong Python development skills. Experience working with REST APIs and systems integration. Knowledge of LLMs, RAG architectures, vector databases and modern AI frameworks. Experience with AWS cloud services and infrastructure. Familiarity with Docker and Kubernetes. Experience integrating AI solutions with Microsoft technologies such as Microsoft 365, SharePoint or Teams. Strong communication skills and the ability to work with both technical and non-technical stakeholders. Desirable Experience AI governance and responsible AI practices. MLOps or LLMOps environments. Agentic AI frameworks such as LangGraph, CrewAI or AutoGen. AI orchestration tools such as N8N. Data governance and Microsoft Purview. Prompt engineering and model fine-tuning. Why Apply? Opportunity to become the first dedicated AI specialist within the business. Significant autonomy and ownership. Ability to shape AI strategy and influence future technology direction. Broad exposure across technical delivery, stakeholder engagement and innovation. Chance to make a visible impact through the adoption of AI solutions across the organisation. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Materials & Production Planner Production Scheduler Production Planning Coordinator Up to 30,000 + Bonus Monday to Friday Permanent 13.30pm friday finish Introduction Acorn by Synergie is recruiting a Materials & Production Planner to join a busy manufacturing business. This is an excellent opportunity for an organised and analytical planner with experience in production planning, scheduling, supply chain, or order management to play a key role in ensuring customer demand is balanced with production capacity. Working closely with Customer Service, Supply Chain, Production, Purchasing, Dispatch, Quality, and Product Engineering teams, you'll manage the short-term production plan, coordinate customer orders, and help deliver products on time while maintaining accurate planning data within the ERP system. What We Offer Salary up to 30,000 , depending on experience. Performance bonus. 1.130pm friday finish Monday to Friday working pattern. Supportive team environment. Opportunity to develop your career within a growing manufacturing business. Key Duties Manage the short-term production plan and customer order schedule within agreed planning parameters. Balance customer demand with available production capacity. Work closely with Customer Service and Supply Chain teams to review demand and confirm achievable delivery dates. Communicate production risks, delays, and schedule changes to key stakeholders. Assess capacity constraints and support bottleneck reduction and backlog management. Adjust production priorities and process daily and weekly schedule changes, including urgent orders and workload balancing. Enter and maintain customer orders accurately within the ERP system. Create and release production orders, ensuring all checks are completed before release. Monitor production shortfalls and coordinate rescheduling, lead time changes, and order closures. Respond to lead time and order enquiries via internal systems, email, and SharePoint. Prepare production documentation and escalate issues where required. Liaise with Purchasing and Dispatch regarding production and delivery commitments. Attend daily planning meetings and maintain accurate planning records and system data. Requirements GCSE Grade C (or equivalent) in Maths and English. Previous experience in production planning, scheduling, supply chain, order management, customer service, or a similar operational environment. Experience using ERP systems with accurate data entry skills. Good knowledge of Microsoft Office, including Excel, Word, Outlook, and PowerPoint. Experience of Fourth Shift, SAP, or similar ERP systems is advantageous. Strong planning, organisational, and problem-solving skills. Excellent attention to detail with the ability to manage complex data accurately. Strong communication skills with the confidence to work across multiple departments. Ability to work independently while managing changing priorities in a fast-paced environment. Interested? Apply today with your up-to-date CV to be considered for this Materials & Production Planner , Production Scheduler , Production Planning Coordinator , or Production Planner opportunity. Acorn by Synergie acts as an employment agency for permanent recruitment.
Aug 12, 2026
Full time
Materials & Production Planner Production Scheduler Production Planning Coordinator Up to 30,000 + Bonus Monday to Friday Permanent 13.30pm friday finish Introduction Acorn by Synergie is recruiting a Materials & Production Planner to join a busy manufacturing business. This is an excellent opportunity for an organised and analytical planner with experience in production planning, scheduling, supply chain, or order management to play a key role in ensuring customer demand is balanced with production capacity. Working closely with Customer Service, Supply Chain, Production, Purchasing, Dispatch, Quality, and Product Engineering teams, you'll manage the short-term production plan, coordinate customer orders, and help deliver products on time while maintaining accurate planning data within the ERP system. What We Offer Salary up to 30,000 , depending on experience. Performance bonus. 1.130pm friday finish Monday to Friday working pattern. Supportive team environment. Opportunity to develop your career within a growing manufacturing business. Key Duties Manage the short-term production plan and customer order schedule within agreed planning parameters. Balance customer demand with available production capacity. Work closely with Customer Service and Supply Chain teams to review demand and confirm achievable delivery dates. Communicate production risks, delays, and schedule changes to key stakeholders. Assess capacity constraints and support bottleneck reduction and backlog management. Adjust production priorities and process daily and weekly schedule changes, including urgent orders and workload balancing. Enter and maintain customer orders accurately within the ERP system. Create and release production orders, ensuring all checks are completed before release. Monitor production shortfalls and coordinate rescheduling, lead time changes, and order closures. Respond to lead time and order enquiries via internal systems, email, and SharePoint. Prepare production documentation and escalate issues where required. Liaise with Purchasing and Dispatch regarding production and delivery commitments. Attend daily planning meetings and maintain accurate planning records and system data. Requirements GCSE Grade C (or equivalent) in Maths and English. Previous experience in production planning, scheduling, supply chain, order management, customer service, or a similar operational environment. Experience using ERP systems with accurate data entry skills. Good knowledge of Microsoft Office, including Excel, Word, Outlook, and PowerPoint. Experience of Fourth Shift, SAP, or similar ERP systems is advantageous. Strong planning, organisational, and problem-solving skills. Excellent attention to detail with the ability to manage complex data accurately. Strong communication skills with the confidence to work across multiple departments. Ability to work independently while managing changing priorities in a fast-paced environment. Interested? Apply today with your up-to-date CV to be considered for this Materials & Production Planner , Production Scheduler , Production Planning Coordinator , or Production Planner opportunity. Acorn by Synergie acts as an employment agency for permanent recruitment.
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 12, 2026
Full time
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Job Title: MLOps Platform Developer Location: London Salary: Depending on experience Job Type: Full time, Permanent This is a rare opportunity to be first in the door to continue the development of our engineering platform. You will own a production system end to end - the web application, the database estate, the data pipelines, the deployments, the integrations and the LLM serving stack. What's involved? Genuine full-stack breadth in one codebase: a React/TypeScript application, a Postgres estate with 100-million-row telemetry tables, serverless functions, MQTT ingestion from building management systems. LLM model training in the specialist fields our clients value most. It could be a housing estates network or a shopping centre, each LLM is tailored to their exact use case. Neural LLM-assisted engineering at the sharp end: coding agents are a first-class part of how the platform is built, and you will get very good at directing them, verifying them and knowing where they lie. Operational technology: BACnet, Trend, JACE and Tridium controls, data points all working together to optimise and commission real engineering systems. The energy transition, concretely: heat networks are central to UK decarbonisation and growing fast; the domain knowledge you build here is scarce and compounding. Small-company reality: direct access to clients, sites, commercial decisions and the CEO, we are a bureaucracy free organisation with a. clear delivery and results focus. What you will do: Operate the LLM estate: run LoRA fine-tuning cycles and evaluation gates on our GPU hardware, manage vLLM serving (including multi-adapter deployments) alongside production, promote or roll back model versions on the gate results, and keep the serving watchdogs healthy. The CEO retains model direction; this role owns the running of the pipelines. Develop, deploy and maintain the web application (React, TypeScript, Vite) and its offline-first engineer mobile surface, with serverless functions on Vercel and Database including the email-ingestion and messaging pipelines. Own the data layer: Postgres on Database - schema design, row-level security for tenant isolation, SQL functions, materialized views, scheduled jobs, query performance at telemetry scale. Run the telemetry pipeline: MQTT ingestion from site BMS equipment, collector services, data-quality rollups, retention, and the monitoring that guards them. Test and verify to the house standard: every change exercised end-to-end against production, the automated invariants suite kept green and extended with each feature. About you: Qualifications and experience: Essential: Degree in computer science, software engineering or a related discipline, or demonstrably equivalent professional experience. ML operations capability: comfortable operating model-serving infrastructure and running established training and evaluation pipelines on Linux/GPU hardware - process management, resource monitoring, versioned promote/rollback. Training pipelines exist and are documented; you must be able to run, monitor and recover them, not design them from scratch. Five or more years building and running production web applications full-stack, with sole or lead ownership of at least one system in live use. Strong TypeScript and React; strong SQL and relational schema design on PostgreSQL, including performance work on large tables. Serverless or cloud deployment experience (Vercel, AWS Lambda, Cloudflare Workers or similar) and comfort operating what you ship: logging, monitoring, incident response. API integration experience against third-party systems (REST, OAuth2/JWT, webhooks), including at least one messy real-world system of record. Python for scripting, data processing or pipeline work. Preferable: Deeper LLM experience: fine-tuning methodology, corpus design, evaluation-harness construction, vLLM internals, or heavy daily use of AI coding agents. ERP, FSM or works-management domain experience - job lifecycles, scheduling, SLAs, parts, timesheets, invoicing - or heat-network / building-services domain experience (BMS, metering, HIUs, energy-centre plant). IoT or telemetry experience: MQTT, time-series data, meter or sensor fleets; BACnet or Trend/Tridium controls exposure a bonus. Supabase specifically (RLS policies, edge functions, realtime), and Deno. Experience in a small company or founder-adjacent role where you owned outcomes rather than tickets. Notice to Agency and Search Firm Representatives: We are not accepting unsolicited CVs from agencies and/or search firms for this job posting. CVs submitted to any employee by a third-party agency and/or search firm without a valid written & signed search agreement, will become our sole property. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. Only applicants who are legally entitled to work in the UK and are currently resident in the UK are invited to apply. Please click on the APPLY button to send your CV for this role. Candidates with the experience and relevant job titles of: Lead Full-Stack Engineer, AI Application Engineer, Applied AI Engineer, LLM Ops Specialist, AI Platform Engineer, MLOPS Engineer, Founding Engineer, Full-Stack AI Developer, AI Software Developer may also be considered for this role.
Aug 12, 2026
Full time
Job Title: MLOps Platform Developer Location: London Salary: Depending on experience Job Type: Full time, Permanent This is a rare opportunity to be first in the door to continue the development of our engineering platform. You will own a production system end to end - the web application, the database estate, the data pipelines, the deployments, the integrations and the LLM serving stack. What's involved? Genuine full-stack breadth in one codebase: a React/TypeScript application, a Postgres estate with 100-million-row telemetry tables, serverless functions, MQTT ingestion from building management systems. LLM model training in the specialist fields our clients value most. It could be a housing estates network or a shopping centre, each LLM is tailored to their exact use case. Neural LLM-assisted engineering at the sharp end: coding agents are a first-class part of how the platform is built, and you will get very good at directing them, verifying them and knowing where they lie. Operational technology: BACnet, Trend, JACE and Tridium controls, data points all working together to optimise and commission real engineering systems. The energy transition, concretely: heat networks are central to UK decarbonisation and growing fast; the domain knowledge you build here is scarce and compounding. Small-company reality: direct access to clients, sites, commercial decisions and the CEO, we are a bureaucracy free organisation with a. clear delivery and results focus. What you will do: Operate the LLM estate: run LoRA fine-tuning cycles and evaluation gates on our GPU hardware, manage vLLM serving (including multi-adapter deployments) alongside production, promote or roll back model versions on the gate results, and keep the serving watchdogs healthy. The CEO retains model direction; this role owns the running of the pipelines. Develop, deploy and maintain the web application (React, TypeScript, Vite) and its offline-first engineer mobile surface, with serverless functions on Vercel and Database including the email-ingestion and messaging pipelines. Own the data layer: Postgres on Database - schema design, row-level security for tenant isolation, SQL functions, materialized views, scheduled jobs, query performance at telemetry scale. Run the telemetry pipeline: MQTT ingestion from site BMS equipment, collector services, data-quality rollups, retention, and the monitoring that guards them. Test and verify to the house standard: every change exercised end-to-end against production, the automated invariants suite kept green and extended with each feature. About you: Qualifications and experience: Essential: Degree in computer science, software engineering or a related discipline, or demonstrably equivalent professional experience. ML operations capability: comfortable operating model-serving infrastructure and running established training and evaluation pipelines on Linux/GPU hardware - process management, resource monitoring, versioned promote/rollback. Training pipelines exist and are documented; you must be able to run, monitor and recover them, not design them from scratch. Five or more years building and running production web applications full-stack, with sole or lead ownership of at least one system in live use. Strong TypeScript and React; strong SQL and relational schema design on PostgreSQL, including performance work on large tables. Serverless or cloud deployment experience (Vercel, AWS Lambda, Cloudflare Workers or similar) and comfort operating what you ship: logging, monitoring, incident response. API integration experience against third-party systems (REST, OAuth2/JWT, webhooks), including at least one messy real-world system of record. Python for scripting, data processing or pipeline work. Preferable: Deeper LLM experience: fine-tuning methodology, corpus design, evaluation-harness construction, vLLM internals, or heavy daily use of AI coding agents. ERP, FSM or works-management domain experience - job lifecycles, scheduling, SLAs, parts, timesheets, invoicing - or heat-network / building-services domain experience (BMS, metering, HIUs, energy-centre plant). IoT or telemetry experience: MQTT, time-series data, meter or sensor fleets; BACnet or Trend/Tridium controls exposure a bonus. Supabase specifically (RLS policies, edge functions, realtime), and Deno. Experience in a small company or founder-adjacent role where you owned outcomes rather than tickets. Notice to Agency and Search Firm Representatives: We are not accepting unsolicited CVs from agencies and/or search firms for this job posting. CVs submitted to any employee by a third-party agency and/or search firm without a valid written & signed search agreement, will become our sole property. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. Only applicants who are legally entitled to work in the UK and are currently resident in the UK are invited to apply. Please click on the APPLY button to send your CV for this role. Candidates with the experience and relevant job titles of: Lead Full-Stack Engineer, AI Application Engineer, Applied AI Engineer, LLM Ops Specialist, AI Platform Engineer, MLOPS Engineer, Founding Engineer, Full-Stack AI Developer, AI Software Developer may also be considered for this role.
Bennett and Game Recruitment LTD
Daventry, Northamptonshire
Job Profile for Operations Manager - RF47165 Operations Manager required for an automotive small/medium component manufacturer based in Daventry. The ideal candidate will be based locally and have experience in a production environment as well as strong management skills. Operations Manager Job Overview Manage all manufacturing operations across welding, fabrication, assembly and warehouse functions. Ensure production schedules are achieved safely, efficiently and to quality standards. Lead daily production meetings and coordinate activities across departments. Oversee production planning and scheduling to meet customer delivery requirements. Manage purchasing and material planning activities. Operations Manager Job Requirements Proven experience in an Operations Manager, Production Manager or Manufacturing Manager role. Automotive experience. Experience within fabrication, engineering or manufacturing environments. Strong knowledge of production planning and supply chain processes. Lean Manufacturing, Six Sigma or Continuous Improvement training. Experience with ERP/MRP systems. Operations Manager Salary & Benefits Salary: 45,000- 55,000 Working hours - Monday - Friday 8-4 25 days holiday + bank hols Auto enrolment pension Death in Service - up to 3 x annual salary WeCare benefit Onsite parking Bennett & Game Recruitment are acting as a Recruitment Agency in relation to this vacancy. Bennett and Game Recruitment are a multi-disciplined technical recruitment agency based in Chichester, West Sussex operating across the UK with specialist teams covering a range of industries. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying you are granting us consent to process your data, contact you about the services we offer, and submit your CV for the role you have applied for.
Aug 12, 2026
Full time
Job Profile for Operations Manager - RF47165 Operations Manager required for an automotive small/medium component manufacturer based in Daventry. The ideal candidate will be based locally and have experience in a production environment as well as strong management skills. Operations Manager Job Overview Manage all manufacturing operations across welding, fabrication, assembly and warehouse functions. Ensure production schedules are achieved safely, efficiently and to quality standards. Lead daily production meetings and coordinate activities across departments. Oversee production planning and scheduling to meet customer delivery requirements. Manage purchasing and material planning activities. Operations Manager Job Requirements Proven experience in an Operations Manager, Production Manager or Manufacturing Manager role. Automotive experience. Experience within fabrication, engineering or manufacturing environments. Strong knowledge of production planning and supply chain processes. Lean Manufacturing, Six Sigma or Continuous Improvement training. Experience with ERP/MRP systems. Operations Manager Salary & Benefits Salary: 45,000- 55,000 Working hours - Monday - Friday 8-4 25 days holiday + bank hols Auto enrolment pension Death in Service - up to 3 x annual salary WeCare benefit Onsite parking Bennett & Game Recruitment are acting as a Recruitment Agency in relation to this vacancy. Bennett and Game Recruitment are a multi-disciplined technical recruitment agency based in Chichester, West Sussex operating across the UK with specialist teams covering a range of industries. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying you are granting us consent to process your data, contact you about the services we offer, and submit your CV for the role you have applied for.
Location: London - Hybrid - 4 days per week onsite Start Day : ASAP Contract Rate: 485 per day inside IR35 Duration: 12 months initially Role Overview Our client is seeking an experienced Azure DevOps Engineer to design, implement and maintain CI/CD pipelines, infrastructure automation, cloud environments and DevOps best practices on Microsoft Azure. This role requires strong hands-on experience across Azure services, Infrastructure as Code, containerisation, monitoring and release management. Key Responsibilities Design and maintain Azure DevOps YAML CI/CD pipelines. Automate build, deployment, testing and release processes. Manage Azure infrastructure using Terraform, ARM Templates and Bicep. Support Azure services including VMs, App Services, AKS, Azure Functions and Storage Accounts. Deploy and manage Docker and Kubernetes (AKS) environments. Implement monitoring and logging using Azure Monitor, Log Analytics, Application Insights and Grafana. Develop automation scripts using PowerShell, Azure CLI, Bash or Python. Implement DevSecOps practices, vulnerability scanning and compliance checks. Collaborate with Development, QA, Security and Operations teams. Skills & Experience 6+ years' experience in Azure DevOps. Strong hands-on experience with Azure Cloud Services. Expertise in Azure DevOps CI/CD pipelines using YAML. Experience with Terraform, ARM Templates and Bicep. Experience with Git, Azure Repos and GitHub. Hands-on experience with Docker and Kubernetes (AKS). Experience with Azure Monitor, Application Insights and Log Analytics. Knowledge of networking, security, identity management and RBAC. Strong scripting skills in PowerShell, Bash, Python or Azure CLI. Experience working within Agile/Scrum environments. Excellent communication, stakeholder management, troubleshooting and problem-solving skills. Desirable Azure certifications (AZ-104, AZ-400 and/or AZ-305). Experience with DevSecOps, enterprise cloud migrations and multi-region deployments. Exposure to SRE concepts. Experience with GitHub Actions, Jenkins, GitLab CI/CD or Bamboo. Knowledge of MLOps, Databricks, Snowflake, Kafka/Event Streaming, Ansible or Chef. Knowledge of FinOps and Azure cost optimisation. Experience working within BFSI environments with security and compliance requirements. Familiarity with SonarQube, Nexus, Artifactory, Veracode, Checkmarx or Fortify. If you have the relevant skills and experience, please do apply promptly to be considered.
Aug 12, 2026
Contractor
Location: London - Hybrid - 4 days per week onsite Start Day : ASAP Contract Rate: 485 per day inside IR35 Duration: 12 months initially Role Overview Our client is seeking an experienced Azure DevOps Engineer to design, implement and maintain CI/CD pipelines, infrastructure automation, cloud environments and DevOps best practices on Microsoft Azure. This role requires strong hands-on experience across Azure services, Infrastructure as Code, containerisation, monitoring and release management. Key Responsibilities Design and maintain Azure DevOps YAML CI/CD pipelines. Automate build, deployment, testing and release processes. Manage Azure infrastructure using Terraform, ARM Templates and Bicep. Support Azure services including VMs, App Services, AKS, Azure Functions and Storage Accounts. Deploy and manage Docker and Kubernetes (AKS) environments. Implement monitoring and logging using Azure Monitor, Log Analytics, Application Insights and Grafana. Develop automation scripts using PowerShell, Azure CLI, Bash or Python. Implement DevSecOps practices, vulnerability scanning and compliance checks. Collaborate with Development, QA, Security and Operations teams. Skills & Experience 6+ years' experience in Azure DevOps. Strong hands-on experience with Azure Cloud Services. Expertise in Azure DevOps CI/CD pipelines using YAML. Experience with Terraform, ARM Templates and Bicep. Experience with Git, Azure Repos and GitHub. Hands-on experience with Docker and Kubernetes (AKS). Experience with Azure Monitor, Application Insights and Log Analytics. Knowledge of networking, security, identity management and RBAC. Strong scripting skills in PowerShell, Bash, Python or Azure CLI. Experience working within Agile/Scrum environments. Excellent communication, stakeholder management, troubleshooting and problem-solving skills. Desirable Azure certifications (AZ-104, AZ-400 and/or AZ-305). Experience with DevSecOps, enterprise cloud migrations and multi-region deployments. Exposure to SRE concepts. Experience with GitHub Actions, Jenkins, GitLab CI/CD or Bamboo. Knowledge of MLOps, Databricks, Snowflake, Kafka/Event Streaming, Ansible or Chef. Knowledge of FinOps and Azure cost optimisation. Experience working within BFSI environments with security and compliance requirements. Familiarity with SonarQube, Nexus, Artifactory, Veracode, Checkmarx or Fortify. If you have the relevant skills and experience, please do apply promptly to be considered.
We are looking for an experienced AI Engineer / Generative AI Engineer to join a major enterprise AI programme in London with a international Bank. This is an excellent opportunity for an AI Engineer with strong hands-on experience across Generative AI, Large Language Models (LLMs), RAG, GitHub Copilot and Agentic AI. You will be building real-world AI applications, intelligent assistants, copilots and automation solutions while helping engineering teams adopt the latest AI development technologies. What You'll Be Doing Design, build and deploy Generative AI and LLM-powered applications Develop AI assistants, copilots and intelligent automation solutions Build Retrieval-Augmented Generation (RAG) applications Work with vector databases and enterprise knowledge sources Integrate LLM and AI services through APIs and cloud architectures Develop and optimise prompts for enterprise AI applications Skills & Experience We are particularly interested in candidates with experience across several of the following: Generative AI / LLMs Large Language Models (LLMs) Generative AI application development GitHub Copilot Claude Code OpenAI GPT / Azure OpenAI Anthropic Claude APIs Agentic AI LangChain LangGraph CrewAI Software Engineering Strong development experience with Python, JavaScript/TypeScript, C# or Java REST APIs and microservices Software architecture and engineering best practices Desirable Skills Experience with any of the following would be advantageous but not essential : Azure, AWS or Google Cloud GitHub Actions / Azure DevOps / Jenkins Docker and Kubernetes Terraform / Infrastructure as Code Why Apply for the role 12-month contract Major enterprise AI programme Blue chip client Interviews are being booked for a start in either August or early September
Aug 12, 2026
Contractor
We are looking for an experienced AI Engineer / Generative AI Engineer to join a major enterprise AI programme in London with a international Bank. This is an excellent opportunity for an AI Engineer with strong hands-on experience across Generative AI, Large Language Models (LLMs), RAG, GitHub Copilot and Agentic AI. You will be building real-world AI applications, intelligent assistants, copilots and automation solutions while helping engineering teams adopt the latest AI development technologies. What You'll Be Doing Design, build and deploy Generative AI and LLM-powered applications Develop AI assistants, copilots and intelligent automation solutions Build Retrieval-Augmented Generation (RAG) applications Work with vector databases and enterprise knowledge sources Integrate LLM and AI services through APIs and cloud architectures Develop and optimise prompts for enterprise AI applications Skills & Experience We are particularly interested in candidates with experience across several of the following: Generative AI / LLMs Large Language Models (LLMs) Generative AI application development GitHub Copilot Claude Code OpenAI GPT / Azure OpenAI Anthropic Claude APIs Agentic AI LangChain LangGraph CrewAI Software Engineering Strong development experience with Python, JavaScript/TypeScript, C# or Java REST APIs and microservices Software architecture and engineering best practices Desirable Skills Experience with any of the following would be advantageous but not essential : Azure, AWS or Google Cloud GitHub Actions / Azure DevOps / Jenkins Docker and Kubernetes Terraform / Infrastructure as Code Why Apply for the role 12-month contract Major enterprise AI programme Blue chip client Interviews are being booked for a start in either August or early September
Lead Azure Databricks Platform Engineer / Architect Hands-on Platform Engineering Serverless FinOps POSIT/RStudio Migration 6 Month contract Inside IR35 - 500 a day London/Hybrid Role Purpose We are seeking a highly experienced, hands-on Azure Databricks Platform Engineer / Architect to enhance and optimise an enterprise Data Platform. The role combines architecture with direct implementation: the successful candidate must be able to configure, develop, troubleshoot and optimise Azure Databricks rather than operate only at design or governance level. The role is centred on three outcomes: enabling and optimising Databricks Serverless, strengthening FinOps and platform controls, and enhancing the Databricks Discovery Zone to support workloads currently delivered through POSIT/RStudio. Key Responsibilities 1. Databricks Serverless Enablement and Optimisation Assess existing workloads and determine suitability for Serverless, classic, job or interactive compute based on duration, utilisation, SLA, concurrency, performance and cost. Enable and configure Serverless for appropriate jobs, SQL workloads, notebooks, analytical processing and data pipelines. Establish workload-placement guidance, including when Serverless is not economical for predictable, heavy or continuously running workloads. Implement compute policies, autoscaling, quotas, budget controls and operational guardrails. Measure cost and performance outcomes, identify idle or oversized compute, and recommend optimisation actions. 2. FinOps and Enterprise Platform Controls Define and embed a practical FinOps operating model covering ownership, accountability, projects, environments, teams, applications and cost centres. Implement mandatory tagging and integrate validation into CI/CD so non-compliant resources are prevented from being provisioned. Provide granular cost attribution by workspace, project, application, workload, job and team/user where technically appropriate. Implement budget policies, thresholds, proactive alerts and usage reporting to prevent uncontrolled spend. Use platform usage and billing data to identify idle compute, inefficient workloads, unnecessary storage/data movement and cost anomalies. 3. Databricks Discovery Zone and POSIT/RStudio Migration Enhance the Databricks Discovery Zone to support migration from POSIT/RStudio Enable application deployment, secure API integrations, external data ingestion, LLM integration, scheduling, BI connectivity, local IDE-based development and operational reporting. Define reusable onboarding and migration patterns that reduce technology sprawl while improving security, supportability and delivery speed. 4. Data Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration patterns for REST APIs, SaaS platforms, databases, files, object storage, document repositories, enterprise applications and public/external data providers. Implement secure authentication and credential handling for external and internal integrations. Build end-to-end data flows from source through governed ingestion and curated layers to BI, ML or application consumption. Required Hands-on Technical Skills Deep hands-on Azure Databricks implementation and troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration patterns FinOps, cost attribution, tagging, budgets, monitoring and operational support Experience and Candidate Profile Significant experience delivering enterprise Azure Databricks platforms in production environments. Demonstrable ability to move between architecture, implementation, debugging and optimisation without depending entirely on specialist engineering teams. Strong understanding of platform security, data governance, operational support and controlled delivery in regulated or complex enterprises. Experience working collaboratively with data engineers, data scientists, architects, security teams, platform teams and business stakeholders. Clear communication skills and the ability to document standards, patterns, decisions and operational guidance. Highly Desirable but not Mandatory POSIT/RStudio migration or consolidation experience. Migration of analytical/data science workloads (convert and migrate R development/Libraries to Databricks). AI/ML, LLM integration, model lifecycle, RAG/vector retrieval or model-serving experience. Large-scale enterprise platform transformation and regulated-industry experience. Strong cost optimisation and FinOps delivery experience across Azure and Databricks.
Aug 12, 2026
Contractor
Lead Azure Databricks Platform Engineer / Architect Hands-on Platform Engineering Serverless FinOps POSIT/RStudio Migration 6 Month contract Inside IR35 - 500 a day London/Hybrid Role Purpose We are seeking a highly experienced, hands-on Azure Databricks Platform Engineer / Architect to enhance and optimise an enterprise Data Platform. The role combines architecture with direct implementation: the successful candidate must be able to configure, develop, troubleshoot and optimise Azure Databricks rather than operate only at design or governance level. The role is centred on three outcomes: enabling and optimising Databricks Serverless, strengthening FinOps and platform controls, and enhancing the Databricks Discovery Zone to support workloads currently delivered through POSIT/RStudio. Key Responsibilities 1. Databricks Serverless Enablement and Optimisation Assess existing workloads and determine suitability for Serverless, classic, job or interactive compute based on duration, utilisation, SLA, concurrency, performance and cost. Enable and configure Serverless for appropriate jobs, SQL workloads, notebooks, analytical processing and data pipelines. Establish workload-placement guidance, including when Serverless is not economical for predictable, heavy or continuously running workloads. Implement compute policies, autoscaling, quotas, budget controls and operational guardrails. Measure cost and performance outcomes, identify idle or oversized compute, and recommend optimisation actions. 2. FinOps and Enterprise Platform Controls Define and embed a practical FinOps operating model covering ownership, accountability, projects, environments, teams, applications and cost centres. Implement mandatory tagging and integrate validation into CI/CD so non-compliant resources are prevented from being provisioned. Provide granular cost attribution by workspace, project, application, workload, job and team/user where technically appropriate. Implement budget policies, thresholds, proactive alerts and usage reporting to prevent uncontrolled spend. Use platform usage and billing data to identify idle compute, inefficient workloads, unnecessary storage/data movement and cost anomalies. 3. Databricks Discovery Zone and POSIT/RStudio Migration Enhance the Databricks Discovery Zone to support migration from POSIT/RStudio Enable application deployment, secure API integrations, external data ingestion, LLM integration, scheduling, BI connectivity, local IDE-based development and operational reporting. Define reusable onboarding and migration patterns that reduce technology sprawl while improving security, supportability and delivery speed. 4. Data Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration patterns for REST APIs, SaaS platforms, databases, files, object storage, document repositories, enterprise applications and public/external data providers. Implement secure authentication and credential handling for external and internal integrations. Build end-to-end data flows from source through governed ingestion and curated layers to BI, ML or application consumption. Required Hands-on Technical Skills Deep hands-on Azure Databricks implementation and troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration patterns FinOps, cost attribution, tagging, budgets, monitoring and operational support Experience and Candidate Profile Significant experience delivering enterprise Azure Databricks platforms in production environments. Demonstrable ability to move between architecture, implementation, debugging and optimisation without depending entirely on specialist engineering teams. Strong understanding of platform security, data governance, operational support and controlled delivery in regulated or complex enterprises. Experience working collaboratively with data engineers, data scientists, architects, security teams, platform teams and business stakeholders. Clear communication skills and the ability to document standards, patterns, decisions and operational guidance. Highly Desirable but not Mandatory POSIT/RStudio migration or consolidation experience. Migration of analytical/data science workloads (convert and migrate R development/Libraries to Databricks). AI/ML, LLM integration, model lifecycle, RAG/vector retrieval or model-serving experience. Large-scale enterprise platform transformation and regulated-industry experience. Strong cost optimisation and FinOps delivery experience across Azure and Databricks.
Are you an experienced HR Coordinator or HR Administrator looking for your next opportunity within a busy construction or engineering environment? We're recruiting on behalf of a growing business for an HR Coordinator to join their Head Office team in Bolton. You'll play a key role in the day-to-day running of the HR function, supporting managers and employees across recruitment, onboarding, HR administration, employee relations and compliance. Working closely with the People Manager, you'll help ensure HR processes are efficient, compliant and deliver an excellent employee experience. Benefits: £30,000 - £35,000 depending on experience. Permanent, full-time position. Fully office-based role in Bolton. 40-hour working week. Genuine opportunities for career development and progression. Supportive working environment within a growing business. Key Responsibilities: Coordinate recruitment activities, interviews and onboarding for new employees. Prepare contracts, offer letters and employment documentation. Maintain accurate employee records and HR systems. Manage probation reviews, contract amendments and employee lifecycle administration. Produce HR reports including headcount, absence, recruitment and training data. Provide first-line HR support to managers and employees. Coordinate training, inductions and compliance records. Support employee engagement initiatives and HR projects. Ensure HR practices remain compliant with UK employment legislation and GDPR. Skills/Experience required: Previous experience in an HR Coordinator or HR Administrator role. Experience within construction, engineering, facilities management, manufacturing or a similar industry is essential. Good understanding of UK employment legislation and HR best practice. Experience managing recruitment and onboarding processes. Strong organisational skills with excellent attention to detail. Confident using Microsoft Office and HR systems. CIPD Level 3 qualified essential and working towards a Level 5 is advantageous. If this sounds like you, please apply today!
Aug 12, 2026
Full time
Are you an experienced HR Coordinator or HR Administrator looking for your next opportunity within a busy construction or engineering environment? We're recruiting on behalf of a growing business for an HR Coordinator to join their Head Office team in Bolton. You'll play a key role in the day-to-day running of the HR function, supporting managers and employees across recruitment, onboarding, HR administration, employee relations and compliance. Working closely with the People Manager, you'll help ensure HR processes are efficient, compliant and deliver an excellent employee experience. Benefits: £30,000 - £35,000 depending on experience. Permanent, full-time position. Fully office-based role in Bolton. 40-hour working week. Genuine opportunities for career development and progression. Supportive working environment within a growing business. Key Responsibilities: Coordinate recruitment activities, interviews and onboarding for new employees. Prepare contracts, offer letters and employment documentation. Maintain accurate employee records and HR systems. Manage probation reviews, contract amendments and employee lifecycle administration. Produce HR reports including headcount, absence, recruitment and training data. Provide first-line HR support to managers and employees. Coordinate training, inductions and compliance records. Support employee engagement initiatives and HR projects. Ensure HR practices remain compliant with UK employment legislation and GDPR. Skills/Experience required: Previous experience in an HR Coordinator or HR Administrator role. Experience within construction, engineering, facilities management, manufacturing or a similar industry is essential. Good understanding of UK employment legislation and HR best practice. Experience managing recruitment and onboarding processes. Strong organisational skills with excellent attention to detail. Confident using Microsoft Office and HR systems. CIPD Level 3 qualified essential and working towards a Level 5 is advantageous. If this sounds like you, please apply today!
Good Afternoon, I am currently representing Department of Health & Social Care, who are offering an initial temporary contract for a period of 6 months with a view to be extended or offered a permanent position for the right candidate at a rate per day which is negotiable dependent upon experience We are looking for a AI Automation Engineer this role will be based at: Remote with Occasional Office Visits, SW1H 0EU The right candidate will: Design, build and maintain AI agents and automation tools using Copilot Studio and Microsoft Power Platform, ensuring that solutions integrate effectively with SharePoint, Azure services and other departmental systems. Develop intelligent solutions in partnership with external providers, contributing engineering expertise to the delivery of more advanced AI capabilities across DHSC. Collaborate with Data Engineering and Data Management to ensure that all solutions use secure, well documented, AI ready datasets and that data pathways are safe, governed and reusable. Work closely with user research, design and UX specialists to ensure agents are intuitive, meet real world user needs and can be adopted at scale across business areas. Provide a full service wrap for deployed tools, including documentation, monitoring, iterative improvement, troubleshooting and ensuring long term maintainability. Support alignment with governance, risk and compliance requirements, ensuring solutions uphold departmental standards for responsible AI, information assurance, cyber security and ethical use. Contribute to cross-team collaboration, working with policy, product, data, cyber and operational colleagues to ensure solutions work end-to-end in practice. Help develop reusable components that accelerate future delivery, enabling consistent, scalable implementation of AI-enabled solutions. Support capability building across DHSC, particularly by sharing engineering best practices and helping business areas understand what is possible through agent-based automation. We require the following: Experience designing and building intelligent automation or AI solutions using Microsoft Power Platform, Copilot Studio or similar low-code/no-code platforms. Ability to integrate solutions with systems such as SharePoint, Azure services and other enterprise platforms. Understanding of secure data handling, including governance, permissions, documentation, and compliant use of AI-ready datasets. Experience collaborating with multidisciplinary teams including data engineering, user research, design, cyber security, and business areas. To discuss this opportunity further please send over an up-to-date CV and give me a call on (phone number removed) If you know someone who would be a good fit for the role, please send over their contact details and get in touch, as we do offer a generous referral fee. IF THIS ROLE IS NOT APPLICABLE TO YOU, BUT YOU ARE LOOKING FOR ROLE, PLEASE SEND OVER YOUR CV AND I WILL CHECK WHAT ROLES I HAVE AVAILABLE. Look forward to speaking with you soon,
Aug 12, 2026
Contractor
Good Afternoon, I am currently representing Department of Health & Social Care, who are offering an initial temporary contract for a period of 6 months with a view to be extended or offered a permanent position for the right candidate at a rate per day which is negotiable dependent upon experience We are looking for a AI Automation Engineer this role will be based at: Remote with Occasional Office Visits, SW1H 0EU The right candidate will: Design, build and maintain AI agents and automation tools using Copilot Studio and Microsoft Power Platform, ensuring that solutions integrate effectively with SharePoint, Azure services and other departmental systems. Develop intelligent solutions in partnership with external providers, contributing engineering expertise to the delivery of more advanced AI capabilities across DHSC. Collaborate with Data Engineering and Data Management to ensure that all solutions use secure, well documented, AI ready datasets and that data pathways are safe, governed and reusable. Work closely with user research, design and UX specialists to ensure agents are intuitive, meet real world user needs and can be adopted at scale across business areas. Provide a full service wrap for deployed tools, including documentation, monitoring, iterative improvement, troubleshooting and ensuring long term maintainability. Support alignment with governance, risk and compliance requirements, ensuring solutions uphold departmental standards for responsible AI, information assurance, cyber security and ethical use. Contribute to cross-team collaboration, working with policy, product, data, cyber and operational colleagues to ensure solutions work end-to-end in practice. Help develop reusable components that accelerate future delivery, enabling consistent, scalable implementation of AI-enabled solutions. Support capability building across DHSC, particularly by sharing engineering best practices and helping business areas understand what is possible through agent-based automation. We require the following: Experience designing and building intelligent automation or AI solutions using Microsoft Power Platform, Copilot Studio or similar low-code/no-code platforms. Ability to integrate solutions with systems such as SharePoint, Azure services and other enterprise platforms. Understanding of secure data handling, including governance, permissions, documentation, and compliant use of AI-ready datasets. Experience collaborating with multidisciplinary teams including data engineering, user research, design, cyber security, and business areas. To discuss this opportunity further please send over an up-to-date CV and give me a call on (phone number removed) If you know someone who would be a good fit for the role, please send over their contact details and get in touch, as we do offer a generous referral fee. IF THIS ROLE IS NOT APPLICABLE TO YOU, BUT YOU ARE LOOKING FOR ROLE, PLEASE SEND OVER YOUR CV AND I WILL CHECK WHAT ROLES I HAVE AVAILABLE. Look forward to speaking with you soon,
Test Engineer Hardware & Telematics Bench Testing Location: Tunbridge Wells (Office-based with some on-road testing) Company: VisionTrack Award-winning IoT & Video Telematics Innovator Full UK Driving Licence & Own Car Required About Us VisionTrack is a multi-award-winning leader in IoT, insurance telematics, and in-vehicle video technology. We develop cutting-edge solutions that power connected vehicle data and drive innovation across fleets, logistics, and insurance industries. The Role We re looking for a hands-on Test Engineer with a real curiosity for how things work. Someone who enjoys bench testing hardware, solving problems , and working with innovative telematics and video devices. You ll play a key role in testing our in-vehicle camera and telematics systems, both in the lab and on the road. This is a great opportunity for someone looking to build experience in IoT, embedded systems, and connected vehicle technology. You ll work closely with our development and QA teams to: Perform bench testing of telematics hardware using DMMs, oscilloscopes, and other test tools. Conduct real-world testing of devices in vehicles. Document and report test results clearly and accurately. Replicate and communicate issues to the development team to help refine and improve our products. What You ll Need A methodical, analytical mindset and strong attention to detail. Practical hands-on experience testing or working with electronic hardware (university projects, hobbyist, or commercial experience welcome). Confidence using electronic test equipment (e.g. multimeter, oscilloscope, function generator). Ability to install and remove test equipment in vehicles safely. A full UK driving licence and your own vehicle, as on-road testing is part of the role. Excellent communication and documentation skills. Why Join Us? Be part of a cutting-edge IoT company working with real-world connected tech. Gain hands-on experience testing products that combine hardware, software, and data analytics. Collaborative and supportive engineering team. Opportunities to develop your technical career in IoT and automotive tech. If you love getting hands-on with tech and enjoy understanding how connected devices perform in the real world, we d love to hear from you. Apply now and help us shape the future of connected vehicle technology.
Aug 12, 2026
Full time
Test Engineer Hardware & Telematics Bench Testing Location: Tunbridge Wells (Office-based with some on-road testing) Company: VisionTrack Award-winning IoT & Video Telematics Innovator Full UK Driving Licence & Own Car Required About Us VisionTrack is a multi-award-winning leader in IoT, insurance telematics, and in-vehicle video technology. We develop cutting-edge solutions that power connected vehicle data and drive innovation across fleets, logistics, and insurance industries. The Role We re looking for a hands-on Test Engineer with a real curiosity for how things work. Someone who enjoys bench testing hardware, solving problems , and working with innovative telematics and video devices. You ll play a key role in testing our in-vehicle camera and telematics systems, both in the lab and on the road. This is a great opportunity for someone looking to build experience in IoT, embedded systems, and connected vehicle technology. You ll work closely with our development and QA teams to: Perform bench testing of telematics hardware using DMMs, oscilloscopes, and other test tools. Conduct real-world testing of devices in vehicles. Document and report test results clearly and accurately. Replicate and communicate issues to the development team to help refine and improve our products. What You ll Need A methodical, analytical mindset and strong attention to detail. Practical hands-on experience testing or working with electronic hardware (university projects, hobbyist, or commercial experience welcome). Confidence using electronic test equipment (e.g. multimeter, oscilloscope, function generator). Ability to install and remove test equipment in vehicles safely. A full UK driving licence and your own vehicle, as on-road testing is part of the role. Excellent communication and documentation skills. Why Join Us? Be part of a cutting-edge IoT company working with real-world connected tech. Gain hands-on experience testing products that combine hardware, software, and data analytics. Collaborative and supportive engineering team. Opportunities to develop your technical career in IoT and automotive tech. If you love getting hands-on with tech and enjoy understanding how connected devices perform in the real world, we d love to hear from you. Apply now and help us shape the future of connected vehicle technology.
Opus Recruitment Solutions
Newcastle Upon Tyne, Tyne And Wear
Solution Architect (Contract) Location: Hybrid 3 days onsite/week (Sheffield, Leeds, Manchester, Manchester, Blackpool, Birmingham, Newcastle) Contract: 6 Months Opportunity We are supporting a major UK Government programme seeking an experienced Solution Architect to lead the design and delivery of enterprise-scale solutions across business-critical functions including People, Finance, Commercial and Estates. This is an excellent opportunity to join a high-profile transformation programme where you will shape technical strategy, design modern cloud-based solutions, and work closely with senior stakeholders, engineering teams, and delivery partners. Key Responsibilities Design end-to-end technical solutions that align with business requirements and enterprise architecture standards. Lead architecture design for large-scale enterprise systems and transformation initiatives. Evaluate, select, and implement SaaS products and services. Design and govern solutions using microservices, APIs, event-driven architectures, and file-based integrations. Produce architecture artefacts, solution designs, and technical documentation for a range of audiences. Work closely with engineering and delivery teams to ensure successful implementation. Drive the adoption of architecture best practices, patterns, and standards. Identify and reduce technical debt while improving long-term platform sustainability. Develop technical roadmaps and present solutions at architecture governance forums. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Collaborate with business and technology leaders to deliver value-for-money solutions. Essential Experience Proven experience working as a Solution Architect within large and complex organisations. Extensive experience selecting and implementing Software as a Service (SaaS) solutions. Strong expertise in: Microservices Architecture API Design and Integration Event-Driven Architecture File-Based Data Transfers and Integration Patterns Experience designing solutions within public cloud environments (AWS, Azure and/or GCP). Strong understanding of enterprise architecture principles and governance. Experience creating architecture diagrams, solution views, and technical documentation. Demonstrable experience leading architecture on enterprise-scale programmes. Strong stakeholder management skills with the ability to influence senior leadership. Excellent communication and presentation skills. Desirable Experience Experience delivering solutions across People (HR), Finance, Commercial, or Estates domains. Experience working within Government or highly regulated environments. Familiarity with architecture frameworks and governance processes.
Aug 12, 2026
Contractor
Solution Architect (Contract) Location: Hybrid 3 days onsite/week (Sheffield, Leeds, Manchester, Manchester, Blackpool, Birmingham, Newcastle) Contract: 6 Months Opportunity We are supporting a major UK Government programme seeking an experienced Solution Architect to lead the design and delivery of enterprise-scale solutions across business-critical functions including People, Finance, Commercial and Estates. This is an excellent opportunity to join a high-profile transformation programme where you will shape technical strategy, design modern cloud-based solutions, and work closely with senior stakeholders, engineering teams, and delivery partners. Key Responsibilities Design end-to-end technical solutions that align with business requirements and enterprise architecture standards. Lead architecture design for large-scale enterprise systems and transformation initiatives. Evaluate, select, and implement SaaS products and services. Design and govern solutions using microservices, APIs, event-driven architectures, and file-based integrations. Produce architecture artefacts, solution designs, and technical documentation for a range of audiences. Work closely with engineering and delivery teams to ensure successful implementation. Drive the adoption of architecture best practices, patterns, and standards. Identify and reduce technical debt while improving long-term platform sustainability. Develop technical roadmaps and present solutions at architecture governance forums. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Collaborate with business and technology leaders to deliver value-for-money solutions. Essential Experience Proven experience working as a Solution Architect within large and complex organisations. Extensive experience selecting and implementing Software as a Service (SaaS) solutions. Strong expertise in: Microservices Architecture API Design and Integration Event-Driven Architecture File-Based Data Transfers and Integration Patterns Experience designing solutions within public cloud environments (AWS, Azure and/or GCP). Strong understanding of enterprise architecture principles and governance. Experience creating architecture diagrams, solution views, and technical documentation. Demonstrable experience leading architecture on enterprise-scale programmes. Strong stakeholder management skills with the ability to influence senior leadership. Excellent communication and presentation skills. Desirable Experience Experience delivering solutions across People (HR), Finance, Commercial, or Estates domains. Experience working within Government or highly regulated environments. Familiarity with architecture frameworks and governance processes.
We are seeking a Full Stack Developer to build and maintain scalable web applications and platforms in a mixed cloud (Azure + AWS) environment. The ideal candidate will work across the full software development lifecycle, from conception to deployment, and collaborate with cross-functional teams to deliver high-quality solutions that meet business objectives. This role requires proficiency in both front-end and back-end technologies, strong problem-solving skills, and familiarity with Agile methodologies. Key Responsibilities Develop responsive, accessible, and high-quality interfaces using Next.js, React, and TypeScript. Build and manage back-end services and APIs using Python and FastAPI/Flask. Experience developing APIs based on modern indexes such as Elasticsearch. Collaborate with design and product teams to create intuitive user experiences. Participate in code reviews, testing, and debugging to ensure high-quality software. Maintain and update existing applications, troubleshoot issues, and implement enhancements. Write technical documentation and assist in defining project requirements. Implement CI/CD pipelines and automated testing to streamline deployment processes. Stay updated with emerging technologies and best practices in full-stack development. Required Skills and Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Full Stack Developer or similar role. Strong knowledge of front-end technologies: HTML, CSS, JavaScript, and frameworks like React, Next.js. Strong knowledge of front-end technologies: Python, Node.js, Next.js. Familiarity with databases and Search Indexes: Elasticsearch and SQL-like databases. Knowledge of version control systems (Git). Understanding of cloud platforms and deployment strategies. Excellent problem-solving, debugging, and communication skills. Ability to work independently and collaboratively in a team-oriented environment. Desirable Skills and Competencies Experience with PyGeoAPI Experience with Jira / Confluence This will be 1 to 2 days a week on site in the Exeter office, the remaining days can be remote Candidates will need to be currently eligible to work in the UK 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.
Aug 12, 2026
Contractor
We are seeking a Full Stack Developer to build and maintain scalable web applications and platforms in a mixed cloud (Azure + AWS) environment. The ideal candidate will work across the full software development lifecycle, from conception to deployment, and collaborate with cross-functional teams to deliver high-quality solutions that meet business objectives. This role requires proficiency in both front-end and back-end technologies, strong problem-solving skills, and familiarity with Agile methodologies. Key Responsibilities Develop responsive, accessible, and high-quality interfaces using Next.js, React, and TypeScript. Build and manage back-end services and APIs using Python and FastAPI/Flask. Experience developing APIs based on modern indexes such as Elasticsearch. Collaborate with design and product teams to create intuitive user experiences. Participate in code reviews, testing, and debugging to ensure high-quality software. Maintain and update existing applications, troubleshoot issues, and implement enhancements. Write technical documentation and assist in defining project requirements. Implement CI/CD pipelines and automated testing to streamline deployment processes. Stay updated with emerging technologies and best practices in full-stack development. Required Skills and Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Full Stack Developer or similar role. Strong knowledge of front-end technologies: HTML, CSS, JavaScript, and frameworks like React, Next.js. Strong knowledge of front-end technologies: Python, Node.js, Next.js. Familiarity with databases and Search Indexes: Elasticsearch and SQL-like databases. Knowledge of version control systems (Git). Understanding of cloud platforms and deployment strategies. Excellent problem-solving, debugging, and communication skills. Ability to work independently and collaboratively in a team-oriented environment. Desirable Skills and Competencies Experience with PyGeoAPI Experience with Jira / Confluence This will be 1 to 2 days a week on site in the Exeter office, the remaining days can be remote Candidates will need to be currently eligible to work in the UK 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.
Founding Engineer Cambridge Hybrid 70,000- 80,000 + Equity Tech stack: Python (FastAPI) - the bread & butter! React & TypeScript PostgreSQL Azure Docker AI / LLMs Some startups are trying to make meetings 3% more efficient. This one is tackling a problem that affects millions of people every day, even if they never realise it. We're working with a AI-native startup building software for one of the UK's most complex and highly regulated industries. Their platform is already live, solving real customer problems, and they're now looking for a Founding Engineer to help scale both the product and the business. This isn't joining a team of 50 engineers. It's joining a small, exceptionally bright group where your decisions will influence the product, architecture and engineering culture for years to come. You'll spend as much time solving problems as you do writing code. One morning might involve designing a new backend service. The afternoon could be spent working alongside customers to understand how they actually use the product before shipping improvements into production. You'll be expected to work backwards from user problems, challenge assumptions, and help decide what should be built in the first place. You'll be responsible for: Building scalable backend systems using Python and FastAPI. Designing clean APIs, data models and software architecture that will stand the test of time. Building AI-powered product features that deliver real value in production. Working across the stack with React and TypeScript where appropriate. Helping shape engineering standards, tooling and technical direction as one of the earliest hires. They're looking for someone who: Loves building products from zero to one. Has strong commercial Python experience and enjoys designing well-structured systems. Has worked with LLMs or AI features in production (rather than simply experimenting). Enjoys operating with ambiguity and taking ownership without waiting for perfect requirements. Thinks about users and product outcomes just as much as technical implementation. Wants to help build an engineering culture, not just contribute to one. Why join? Become one of the earliest engineers in a genuinely mission-driven AI company. Work on software with measurable real-world impact across critical infrastructure. Join an exceptionally strong founding team with a very high technical bar. Shape product, architecture and engineering culture from an early stage. Meaningful equity alongside a competitive salary. Greenfield thinking, high ownership and the opportunity to build something that genuinely matters. If you're excited by difficult engineering problems, real ownership, and building AI products that have genuine impact beyond another productivity tool, I'd love to tell you more. Apply via this advert or drop me an email at .
Aug 12, 2026
Full time
Founding Engineer Cambridge Hybrid 70,000- 80,000 + Equity Tech stack: Python (FastAPI) - the bread & butter! React & TypeScript PostgreSQL Azure Docker AI / LLMs Some startups are trying to make meetings 3% more efficient. This one is tackling a problem that affects millions of people every day, even if they never realise it. We're working with a AI-native startup building software for one of the UK's most complex and highly regulated industries. Their platform is already live, solving real customer problems, and they're now looking for a Founding Engineer to help scale both the product and the business. This isn't joining a team of 50 engineers. It's joining a small, exceptionally bright group where your decisions will influence the product, architecture and engineering culture for years to come. You'll spend as much time solving problems as you do writing code. One morning might involve designing a new backend service. The afternoon could be spent working alongside customers to understand how they actually use the product before shipping improvements into production. You'll be expected to work backwards from user problems, challenge assumptions, and help decide what should be built in the first place. You'll be responsible for: Building scalable backend systems using Python and FastAPI. Designing clean APIs, data models and software architecture that will stand the test of time. Building AI-powered product features that deliver real value in production. Working across the stack with React and TypeScript where appropriate. Helping shape engineering standards, tooling and technical direction as one of the earliest hires. They're looking for someone who: Loves building products from zero to one. Has strong commercial Python experience and enjoys designing well-structured systems. Has worked with LLMs or AI features in production (rather than simply experimenting). Enjoys operating with ambiguity and taking ownership without waiting for perfect requirements. Thinks about users and product outcomes just as much as technical implementation. Wants to help build an engineering culture, not just contribute to one. Why join? Become one of the earliest engineers in a genuinely mission-driven AI company. Work on software with measurable real-world impact across critical infrastructure. Join an exceptionally strong founding team with a very high technical bar. Shape product, architecture and engineering culture from an early stage. Meaningful equity alongside a competitive salary. Greenfield thinking, high ownership and the opportunity to build something that genuinely matters. If you're excited by difficult engineering problems, real ownership, and building AI products that have genuine impact beyond another productivity tool, I'd love to tell you more. Apply via this advert or drop me an email at .
MLOps Engineer (Platform / DevOps) - AI Platform - FULL TIME ONSITE We're partnering with a leading organisation on a high-profile AI initiative, seeking an experienced MLOps / Platform Engineer to build and scale infrastructure supporting advanced AI solutions. The Role You'll play a key role in designing and operating a secure, scalable platform for deploying AI workloads and agents. Working closely with Data Science and Engineering teams, you'll ensure robust infrastructure, seamless deployment pipelines, and high platform reliability. Key Responsibilities - Design, deploy, and manage AI platforms and agent infrastructure - Build and maintain CI/CD pipelines and DevOps workflows - Implement observability, monitoring, and logging solutions - Optimise performance, scalability, and cost efficiency - Support AI teams with infrastructure, deployment, and integration - Ensure platform security, compliance, and high availability - Automate infrastructure using Infrastructure as Code (IaC) tools - Troubleshoot and resolve platform issues Key Requirements - 5+ years' experience in Platform Engineering / DevOps - Strong experience with AWS and cloud-native architectures - Proven knowledge of CI/CD, automation, and DevOps best practices - Experience with Kubernetes / containerisation technologies - Strong programming skills (e.g. Python, Go, Node.js) - Experience with observability tools (e.g. OpenTelemetry, Datadog) - Understanding of security, performance optimisation, and scalability Desirable Skills - Experience working on AI / ML platforms or deployments - Exposure to large-scale distributed systems - AWS certifications In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Aug 12, 2026
Full time
MLOps Engineer (Platform / DevOps) - AI Platform - FULL TIME ONSITE We're partnering with a leading organisation on a high-profile AI initiative, seeking an experienced MLOps / Platform Engineer to build and scale infrastructure supporting advanced AI solutions. The Role You'll play a key role in designing and operating a secure, scalable platform for deploying AI workloads and agents. Working closely with Data Science and Engineering teams, you'll ensure robust infrastructure, seamless deployment pipelines, and high platform reliability. Key Responsibilities - Design, deploy, and manage AI platforms and agent infrastructure - Build and maintain CI/CD pipelines and DevOps workflows - Implement observability, monitoring, and logging solutions - Optimise performance, scalability, and cost efficiency - Support AI teams with infrastructure, deployment, and integration - Ensure platform security, compliance, and high availability - Automate infrastructure using Infrastructure as Code (IaC) tools - Troubleshoot and resolve platform issues Key Requirements - 5+ years' experience in Platform Engineering / DevOps - Strong experience with AWS and cloud-native architectures - Proven knowledge of CI/CD, automation, and DevOps best practices - Experience with Kubernetes / containerisation technologies - Strong programming skills (e.g. Python, Go, Node.js) - Experience with observability tools (e.g. OpenTelemetry, Datadog) - Understanding of security, performance optimisation, and scalability Desirable Skills - Experience working on AI / ML platforms or deployments - Exposure to large-scale distributed systems - AWS certifications In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Aug 12, 2026
Full time
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Senior Civil Technician - Civil Engineering Consultancy London Are you an experienced Senior Civil Technician looking to progress your career within a growing Civil and Structural Engineering consultancy? My client is seeking a talented Senior Civil Technician to join their London team, working on a wide range of infrastructure and development projects valued between £1M and £300M. Based in Central London, you will be producing detailed drawings and 3D models for roads, drainage and infrastructure schemes, while supporting BIM implementation and coordinating with internal engineering teams. This Senior Civil Technician role would suit someone looking to further develop their technical and leadership experience. Key responsibilities: Producing civil engineering drawings and 3D models Supporting highways and drainage design projects Coordinating with engineers and external stakeholders Assisting with BIM and office standards implementation Supporting and mentoring junior team members Requirements: Previous experience in a similar role within the UK Strong AutoCAD and Civils 3D experience (essential) Experience working on roads and drainage infrastructure projects Good communication and coordination skills MicroDrainage, Infraworks or Navisworks experience beneficial but not essential Salary & Benefits £35,000 - £55,000 per annum dependent on experience Hybrid and flexible working Paid overtime and bonus schemes Private healthcare and enhanced pension 25 days annual leave plus bank holidays Training, development and ICE support Onsite gym and regular social events This is an excellent opportunity for a motivated Senior Civil Technician to join a forward-thinking consultancy with genuine progression opportunities and a strong team culture. If you are interested in this opportunity, please submit your CV today for immediate consideration. FOOTNOTE: If you feel that you are right for this role technically, but the salary, location or seniority does not suit you specifically then please still feel free to send us your CV. We constantly recruit for roles very similar to this one at all levels UK Wide. We are always keen to chat with you discreetly about your employment situation. Even if you are happy in your current role for now, we always welcome calls from Highways professionals keen to make their introductions for future months or years. Carrington West's Highways, Transport & Infrastructure division is the fastest growing in the country, our specialist team has a combined over 100+ years' experience in this market. Please call Chloe Orchard at Carrington West on (phone number removed) or email (url removed) for more information. By applying for this position, you are agreeing for Carrington West to hold and process your personal data in accordance with our Data Protection Policy. Your data will be shared with third-party clients specifically relevant to any roles you have applied for. If at any stage, you wish to withdraw your consent please contact us.
Aug 12, 2026
Full time
Senior Civil Technician - Civil Engineering Consultancy London Are you an experienced Senior Civil Technician looking to progress your career within a growing Civil and Structural Engineering consultancy? My client is seeking a talented Senior Civil Technician to join their London team, working on a wide range of infrastructure and development projects valued between £1M and £300M. Based in Central London, you will be producing detailed drawings and 3D models for roads, drainage and infrastructure schemes, while supporting BIM implementation and coordinating with internal engineering teams. This Senior Civil Technician role would suit someone looking to further develop their technical and leadership experience. Key responsibilities: Producing civil engineering drawings and 3D models Supporting highways and drainage design projects Coordinating with engineers and external stakeholders Assisting with BIM and office standards implementation Supporting and mentoring junior team members Requirements: Previous experience in a similar role within the UK Strong AutoCAD and Civils 3D experience (essential) Experience working on roads and drainage infrastructure projects Good communication and coordination skills MicroDrainage, Infraworks or Navisworks experience beneficial but not essential Salary & Benefits £35,000 - £55,000 per annum dependent on experience Hybrid and flexible working Paid overtime and bonus schemes Private healthcare and enhanced pension 25 days annual leave plus bank holidays Training, development and ICE support Onsite gym and regular social events This is an excellent opportunity for a motivated Senior Civil Technician to join a forward-thinking consultancy with genuine progression opportunities and a strong team culture. If you are interested in this opportunity, please submit your CV today for immediate consideration. FOOTNOTE: If you feel that you are right for this role technically, but the salary, location or seniority does not suit you specifically then please still feel free to send us your CV. We constantly recruit for roles very similar to this one at all levels UK Wide. We are always keen to chat with you discreetly about your employment situation. Even if you are happy in your current role for now, we always welcome calls from Highways professionals keen to make their introductions for future months or years. Carrington West's Highways, Transport & Infrastructure division is the fastest growing in the country, our specialist team has a combined over 100+ years' experience in this market. Please call Chloe Orchard at Carrington West on (phone number removed) or email (url removed) for more information. By applying for this position, you are agreeing for Carrington West to hold and process your personal data in accordance with our Data Protection Policy. Your data will be shared with third-party clients specifically relevant to any roles you have applied for. If at any stage, you wish to withdraw your consent please contact us.
Executive Network Group
Wellingborough, Northamptonshire
We are currently working with a leading manufacturing business who are looking for a Digital Marketing Manager to take ownership of digital activity across the UK, US and EU. This is an exciting opportunity for a commercially minded marketer to drive lead generation, improve online performance and help shape the customer journey from first touchpoint through to sales conversion. Role: Digital Marketing Manager Salary: £50,000 per annum + benefits Location: Northamptonshire Working across multiple territories, the Digital Marketing Manager will deliver and refine campaigns across PPC, SEO, paid social, remarketing, email and CRM. You will also play a key role in improving website content, landing pages and enquiry journeys, while ensuring all activity is measured and aligned with sales priorities. This role will suit someone with experience in a B2B, technical or product-led environment, who is confident working with data and using insights to improve campaign performance. Strong experience with digital reporting tools, CRM systems and marketing automation platforms will be essential. Main responsibilities for Digital Marketing Manager Oversee digital marketing activity across UK, US and EU markets. Build and optimise campaigns across PPC, SEO, paid social, remarketing and email. Improve website content, performance and conversion pathways. Monitor campaign results, lead quality and ROI using reporting tools and CRM systems. Support sales activity through targeted digital campaigns and nurture programmes. Liaise with external agencies and suppliers to deliver effective and joined-up marketing. Produce regular reports with clear recommendations for improvement. Strengthen online messaging, metadata and content across all territories. Skills and experience for the Digital Marketing Manager 3-5 years' experience in digital marketing. Strong knowledge of SEO, PPC, GA4, Google Ads, LinkedIn and website CMS platforms. Experience with Salesforce, Pardot or similar CRM and automation systems. Confident using data to assess performance and guide decision-making. Strong copywriting and content development skills. Well organised, adaptable and able to manage multiple projects. Comfortable collaborating with sales teams, suppliers and internal stakeholders. The right Digital Marketing Manager will be proactive digital marketer with a strong commercial mindset. Someone who can balance strategy, execution and reporting. A team player who is confident working across different markets and customer groups. Please apply online or contact Sandeep Dhillon for a confidential conversation. Technical Network recruits Engineers and Managers across automotive, aerospace, electrical/electronic, technology, energy, engineering, and manufacturing
Aug 12, 2026
Full time
We are currently working with a leading manufacturing business who are looking for a Digital Marketing Manager to take ownership of digital activity across the UK, US and EU. This is an exciting opportunity for a commercially minded marketer to drive lead generation, improve online performance and help shape the customer journey from first touchpoint through to sales conversion. Role: Digital Marketing Manager Salary: £50,000 per annum + benefits Location: Northamptonshire Working across multiple territories, the Digital Marketing Manager will deliver and refine campaigns across PPC, SEO, paid social, remarketing, email and CRM. You will also play a key role in improving website content, landing pages and enquiry journeys, while ensuring all activity is measured and aligned with sales priorities. This role will suit someone with experience in a B2B, technical or product-led environment, who is confident working with data and using insights to improve campaign performance. Strong experience with digital reporting tools, CRM systems and marketing automation platforms will be essential. Main responsibilities for Digital Marketing Manager Oversee digital marketing activity across UK, US and EU markets. Build and optimise campaigns across PPC, SEO, paid social, remarketing and email. Improve website content, performance and conversion pathways. Monitor campaign results, lead quality and ROI using reporting tools and CRM systems. Support sales activity through targeted digital campaigns and nurture programmes. Liaise with external agencies and suppliers to deliver effective and joined-up marketing. Produce regular reports with clear recommendations for improvement. Strengthen online messaging, metadata and content across all territories. Skills and experience for the Digital Marketing Manager 3-5 years' experience in digital marketing. Strong knowledge of SEO, PPC, GA4, Google Ads, LinkedIn and website CMS platforms. Experience with Salesforce, Pardot or similar CRM and automation systems. Confident using data to assess performance and guide decision-making. Strong copywriting and content development skills. Well organised, adaptable and able to manage multiple projects. Comfortable collaborating with sales teams, suppliers and internal stakeholders. The right Digital Marketing Manager will be proactive digital marketer with a strong commercial mindset. Someone who can balance strategy, execution and reporting. A team player who is confident working across different markets and customer groups. Please apply online or contact Sandeep Dhillon for a confidential conversation. Technical Network recruits Engineers and Managers across automotive, aerospace, electrical/electronic, technology, energy, engineering, and manufacturing
Configuration Engineer Location: Kidderminster Salary: £21,157.50 - £24,784.50 per annum Vacancy Type: Full-time, Mon-Fri working hours 37.5 hour a week contract. Permanent salary As an IT recycler and supplier of IT Services we have overseen more than 3 million devices through the IT lifecycle and, as a result, are perfectly placed to provide our customers with guidance and advice through this complex market. We offer a huge range of additional services, such as IT spares and logistics throughout the UK, as well as datacentre and office relocations, configuration and build, bonded stock, engineers and project managers along with Greensafe Global, our hardware specialist IT brokerage service. This is an entry level - Junior technician role.The IT Configuration Engineer is responsible for the configuration, staging, and preparation of IT equipment in line with defined KPIs and SLAs. This includes BIOS configuration, asset tagging, operating system imaging, and post-deployment setup to ensure all devices are fully functional, secure, and customer-ready. Key Responsibilities: Image and configure desktops, laptops, printers, tablets, and other assets per company standards and in line with SLA s. Configure BIOS settings and apply required system customisations. Execute asset tagging and accurately record customer-specific data in asset management systems. Complete post-imaging configuration, validation, and quality checks to ensure devices meet required standards. Meet defined KPIs and SLAs, including turnaround times, productivity targets, and quality benchmarks. Maintain a clean, safe, and organised workspace in compliance with health and safety policies. Collaborate effectively with team members to achieve daily production targets and operational goals. Provide support to colleagues to maintain workflow efficiency and resolve bottlenecks. Train and mentor team members to ensure consistency, quality, and adherence to processes. Follow data security, handling, and compliance procedures when working with customer devices and information. Competencies & Behaviours: Strong understanding of PC hardware components and architecture. Proficiency in Microsoft Windows operating systems. Familiarity with Android and iOS operating systems is desirable. Experience with imaging and deployment tools (e.g., MDT, SCCM / Microsoft Endpoint Configuration Manager) is advantageous. Strong attention to detail and commitment to quality standards. Ability to work efficiently under pressure in a fast-paced, high-volume environment. Good problem-solving and troubleshooting skills. Effective time management and ability to prioritise tasks. Clear and professional communication skills, both written and verbal. Ability to lift and move IT equipment (up to kg). Ability to stand for extended periods while performing configuration tasks. Benefits: Staff discount online store Company events Refer a friend Scheme - £150+ On-site Fully Equipped Gymnasium To Apply If you feel you are a suitable candidate and would like to work for Greensafe IT, please do not hesitate to apply.i
Aug 12, 2026
Full time
Configuration Engineer Location: Kidderminster Salary: £21,157.50 - £24,784.50 per annum Vacancy Type: Full-time, Mon-Fri working hours 37.5 hour a week contract. Permanent salary As an IT recycler and supplier of IT Services we have overseen more than 3 million devices through the IT lifecycle and, as a result, are perfectly placed to provide our customers with guidance and advice through this complex market. We offer a huge range of additional services, such as IT spares and logistics throughout the UK, as well as datacentre and office relocations, configuration and build, bonded stock, engineers and project managers along with Greensafe Global, our hardware specialist IT brokerage service. This is an entry level - Junior technician role.The IT Configuration Engineer is responsible for the configuration, staging, and preparation of IT equipment in line with defined KPIs and SLAs. This includes BIOS configuration, asset tagging, operating system imaging, and post-deployment setup to ensure all devices are fully functional, secure, and customer-ready. Key Responsibilities: Image and configure desktops, laptops, printers, tablets, and other assets per company standards and in line with SLA s. Configure BIOS settings and apply required system customisations. Execute asset tagging and accurately record customer-specific data in asset management systems. Complete post-imaging configuration, validation, and quality checks to ensure devices meet required standards. Meet defined KPIs and SLAs, including turnaround times, productivity targets, and quality benchmarks. Maintain a clean, safe, and organised workspace in compliance with health and safety policies. Collaborate effectively with team members to achieve daily production targets and operational goals. Provide support to colleagues to maintain workflow efficiency and resolve bottlenecks. Train and mentor team members to ensure consistency, quality, and adherence to processes. Follow data security, handling, and compliance procedures when working with customer devices and information. Competencies & Behaviours: Strong understanding of PC hardware components and architecture. Proficiency in Microsoft Windows operating systems. Familiarity with Android and iOS operating systems is desirable. Experience with imaging and deployment tools (e.g., MDT, SCCM / Microsoft Endpoint Configuration Manager) is advantageous. Strong attention to detail and commitment to quality standards. Ability to work efficiently under pressure in a fast-paced, high-volume environment. Good problem-solving and troubleshooting skills. Effective time management and ability to prioritise tasks. Clear and professional communication skills, both written and verbal. Ability to lift and move IT equipment (up to kg). Ability to stand for extended periods while performing configuration tasks. Benefits: Staff discount online store Company events Refer a friend Scheme - £150+ On-site Fully Equipped Gymnasium To Apply If you feel you are a suitable candidate and would like to work for Greensafe IT, please do not hesitate to apply.i
Operations Manager 37.5 hours per week 45,000 to 55,000 DOE Permanent role About the role: The Operations Manager is responsible for the safe, efficient, and profitable day-to-day operation of the manufacturing business. The role ensures that customer orders are delivered on time, to the required quality standards and within budget, whilst driving continuous improvement across production, planning, purchasing, facilities and logistics. Lead operational performance and support the company's growth objectives. Key Responsibilities: Production & Manufacturing Manage all manufacturing operations across welding, fabrication, assembly and warehouse functions. Ensure production schedules are achieved safely, efficiently and to quality standards. Monitor labour utilisation, capacity planning and operational performance. Lead daily production meetings and coordinate activities across departments. Identify and remove operational bottlenecks. Planning & Scheduling Oversee production planning and scheduling to meet customer delivery requirements. Ensure materials, labour and equipment resources are aligned with production demands. Manage production KPIs including On-time delivery, Productivity, Work in progress (WIP) Purchasing & Supply Chain Manage purchasing and material planning activities. Ensure timely procurement of raw materials, consumables and subcontract services. Support cost reduction initiatives and inventory optimisation. Warehouse Oversee goods receiving, stock control, storage and dispatch. Maintain accurate inventory records. Improve warehouse efficiency and material flow through the business. Facilities & Maintenance Ensure facilities, equipment and infrastructure are maintained and fit for purpose. Coordinate preventative maintenance activities. Safety & Compliance Promote a strong health and safety culture across the business. Ensure compliance with UK health and safety legislation and company policies. Participate in risk assessments, audits and corrective action activities. Continuous Improvement Lead projects focused on efficiency, waste reduction and cost control. Implement best practice processes and standard operating procedures. Use operational data to identify improvement opportunities. Leadership & People Management Lead, coach and develop operational teams and supervisors. Set objectives and conduct performance reviews. Support recruitment, training and succession planning. Foster a positive and accountable team culture. Person Specification: Essential Proven experience in an Operations Manager, Production Manager or Manufacturing Manager role. Automotive experience. Experience within fabrication, engineering or manufacturing environments. Strong knowledge of production planning and supply chain processes. Experience managing multiple departments and supervisors. Understanding of Health & Safety legislation and compliance requirements including a up to date NEBOSH qualification. Strong leadership and people management skills. Excellent problem-solving and organisational abilities. Driving License. Desirable Lean Manufacturing, Six Sigma or Continuous Improvement training. Experience with ERP/MRP systems. Knowledge of IATF 16949 and other management systems. Knowledge of AS9100 Personal Attributes Hands-on. Strong communicator. Results-focused. Comfortable working in a fast-paced SME manufacturing environment. Benefits: 25 days holiday + bank holidays Working hours - Monday - Friday 8-4 Eye care assistance, Employee assistance program Auto enrolment pension Death in Service - up to 3 x annual salary WeCare benefit Onsite parking CRC Recruitment are a leading Midlands based recruitment consultancy covering vacancies across the UK. We have been established since 2003 and have a reputation for high service standards to both candidates and clients. We supply permanent or temporary staff to all areas of business covering a variety of different industry sectors.
Aug 12, 2026
Full time
Operations Manager 37.5 hours per week 45,000 to 55,000 DOE Permanent role About the role: The Operations Manager is responsible for the safe, efficient, and profitable day-to-day operation of the manufacturing business. The role ensures that customer orders are delivered on time, to the required quality standards and within budget, whilst driving continuous improvement across production, planning, purchasing, facilities and logistics. Lead operational performance and support the company's growth objectives. Key Responsibilities: Production & Manufacturing Manage all manufacturing operations across welding, fabrication, assembly and warehouse functions. Ensure production schedules are achieved safely, efficiently and to quality standards. Monitor labour utilisation, capacity planning and operational performance. Lead daily production meetings and coordinate activities across departments. Identify and remove operational bottlenecks. Planning & Scheduling Oversee production planning and scheduling to meet customer delivery requirements. Ensure materials, labour and equipment resources are aligned with production demands. Manage production KPIs including On-time delivery, Productivity, Work in progress (WIP) Purchasing & Supply Chain Manage purchasing and material planning activities. Ensure timely procurement of raw materials, consumables and subcontract services. Support cost reduction initiatives and inventory optimisation. Warehouse Oversee goods receiving, stock control, storage and dispatch. Maintain accurate inventory records. Improve warehouse efficiency and material flow through the business. Facilities & Maintenance Ensure facilities, equipment and infrastructure are maintained and fit for purpose. Coordinate preventative maintenance activities. Safety & Compliance Promote a strong health and safety culture across the business. Ensure compliance with UK health and safety legislation and company policies. Participate in risk assessments, audits and corrective action activities. Continuous Improvement Lead projects focused on efficiency, waste reduction and cost control. Implement best practice processes and standard operating procedures. Use operational data to identify improvement opportunities. Leadership & People Management Lead, coach and develop operational teams and supervisors. Set objectives and conduct performance reviews. Support recruitment, training and succession planning. Foster a positive and accountable team culture. Person Specification: Essential Proven experience in an Operations Manager, Production Manager or Manufacturing Manager role. Automotive experience. Experience within fabrication, engineering or manufacturing environments. Strong knowledge of production planning and supply chain processes. Experience managing multiple departments and supervisors. Understanding of Health & Safety legislation and compliance requirements including a up to date NEBOSH qualification. Strong leadership and people management skills. Excellent problem-solving and organisational abilities. Driving License. Desirable Lean Manufacturing, Six Sigma or Continuous Improvement training. Experience with ERP/MRP systems. Knowledge of IATF 16949 and other management systems. Knowledge of AS9100 Personal Attributes Hands-on. Strong communicator. Results-focused. Comfortable working in a fast-paced SME manufacturing environment. Benefits: 25 days holiday + bank holidays Working hours - Monday - Friday 8-4 Eye care assistance, Employee assistance program Auto enrolment pension Death in Service - up to 3 x annual salary WeCare benefit Onsite parking CRC Recruitment are a leading Midlands based recruitment consultancy covering vacancies across the UK. We have been established since 2003 and have a reputation for high service standards to both candidates and clients. We supply permanent or temporary staff to all areas of business covering a variety of different industry sectors.
