Job Title: Site Reliability Engineer Job Description This Site Reliability Engineer role focuses on designing, building and maintaining cloud-based, high-volume, high-speed systems that provide critical data services to the insurance industry. You will work primarily in AWS, using Linux, containers and modern automation and CI/CD tooling to improve reliability, performance and security. The position combines hands-on engineering, incident response and continuous improvement of the platform and its supporting infrastructure. Responsibilities Design, implement and support scalable, resilient cloud-based solutions in AWS for high-volume, high-speed data systems. Apply structured problem-solving skills to investigate and resolve technical issues across production and non-production environments. Own and deliver regular maintenance activities such as system patching, upgrades and general platform housekeeping. Diagnose and address system performance issues, identifying bottlenecks and implementing improvements. Develop and maintain automation using scripting languages such as Python and tools like Ansible and Terraform to manage infrastructure and deployments. Build, support and test infrastructure components as part of a collaborative engineering team. Contribute to the design and implementation of observability and resilience practices to improve system reliability. Participate in incident response, troubleshooting and root cause analysis to enhance system stability and prevent recurrence. Work with CI/CD pipelines (e.g. GitLab CI or GitHub CI) to streamline build, test and deployment processes. Use containerisation technologies, particularly Docker, to package and run applications consistently across environments. Follow agile working methodologies, taking ownership of user stories and driving them through to completion. Continuously identify opportunities for system improvement, automation and simplification, and implement agreed changes. Collaborate closely with developers and other engineers to ensure infrastructure and applications work seamlessly together. Essential Skills Proven experience in a Site Reliability Engineer (SRE) role, working on production systems. Previous industry experience working in a team that supports, builds and tests infrastructure. Background in software development, with the ability to understand and work with application code and tooling. Strong hands-on experience with AWS or other major cloud platforms in a production environment. Solid knowledge of Linux systems, including deploying, maintaining and upgrading Linux-based servers, and working confidently in terminal-based environments. experience with Linux distributions such as Red Hat Enterprise Linux or CentOS (or similar). Proficiency in scripting or development using languages such as Python. Practical experience with infrastructure automation technologies such as Ansible and Terraform. Hands-on experience with CI/CD pipelines using tools such as GitLab CI or GitHub CI. Strong experience with Docker and container-based workflows. Familiarity with agile methodologies and working practices. Understanding of observability and resilience concepts within an SRE context. Additional Skills & Qualifications experience contributing to the design and implementation of new technologies and platform solutions. Exposure to resilience engineering practices, including designing for fault tolerance and graceful degradation. experience implementing or working with observability tooling and practices (e.g. logging, metrics, tracing). Ability to work closely with development teams to align infrastructure and application delivery. Strong sense of ownership, with the determination to see tasks and user stories through to completion. Clear, concise communication skills for collaborating within cross-functional teams and documenting solutions. Why Work Here? You will join a technology-focused environment where reliability, automation and modern engineering practices are at the core of how systems are built and run. The organisation offers the opportunity to work on large-scale, cloud-native platforms with contemporary tooling, giving you scope to deepen your SRE expertise and broaden your cloud and automation skills. You can expect a contract of at least one year with strong potential for extension, providing stability while you contribute to meaningful, high-impact projects. The culture encourages continuous improvement, knowledge sharing and collaborative problem-solving, supporting your professional growth in a modern engineering setting. Work Environment You will work in a cloud-centric environment built primarily on AWS, supporting high-volume, high-speed data systems. The technology stack includes Linux (such as Red Hat Enterprise Linux or CentOS), Python, Ansible, Terraform, Docker and CI/CD pipelines using GitLab CI or GitHub CI. The team follows agile methodologies, working in iterative cycles with user stories, regular ceremonies and close collaboration between developers and reliability engineers. Day-to-day work is hands-on and terminal-focused within Linux environments, with a strong emphasis on automation, observability, security and resilience. The setting is professional and technology-driven, with modern tooling and processes that support efficient remote collaboration and focused engineering work. Location Nottingham, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
May 24, 2026
Contractor
Job Title: Site Reliability Engineer Job Description This Site Reliability Engineer role focuses on designing, building and maintaining cloud-based, high-volume, high-speed systems that provide critical data services to the insurance industry. You will work primarily in AWS, using Linux, containers and modern automation and CI/CD tooling to improve reliability, performance and security. The position combines hands-on engineering, incident response and continuous improvement of the platform and its supporting infrastructure. Responsibilities Design, implement and support scalable, resilient cloud-based solutions in AWS for high-volume, high-speed data systems. Apply structured problem-solving skills to investigate and resolve technical issues across production and non-production environments. Own and deliver regular maintenance activities such as system patching, upgrades and general platform housekeeping. Diagnose and address system performance issues, identifying bottlenecks and implementing improvements. Develop and maintain automation using scripting languages such as Python and tools like Ansible and Terraform to manage infrastructure and deployments. Build, support and test infrastructure components as part of a collaborative engineering team. Contribute to the design and implementation of observability and resilience practices to improve system reliability. Participate in incident response, troubleshooting and root cause analysis to enhance system stability and prevent recurrence. Work with CI/CD pipelines (e.g. GitLab CI or GitHub CI) to streamline build, test and deployment processes. Use containerisation technologies, particularly Docker, to package and run applications consistently across environments. Follow agile working methodologies, taking ownership of user stories and driving them through to completion. Continuously identify opportunities for system improvement, automation and simplification, and implement agreed changes. Collaborate closely with developers and other engineers to ensure infrastructure and applications work seamlessly together. Essential Skills Proven experience in a Site Reliability Engineer (SRE) role, working on production systems. Previous industry experience working in a team that supports, builds and tests infrastructure. Background in software development, with the ability to understand and work with application code and tooling. Strong hands-on experience with AWS or other major cloud platforms in a production environment. Solid knowledge of Linux systems, including deploying, maintaining and upgrading Linux-based servers, and working confidently in terminal-based environments. experience with Linux distributions such as Red Hat Enterprise Linux or CentOS (or similar). Proficiency in scripting or development using languages such as Python. Practical experience with infrastructure automation technologies such as Ansible and Terraform. Hands-on experience with CI/CD pipelines using tools such as GitLab CI or GitHub CI. Strong experience with Docker and container-based workflows. Familiarity with agile methodologies and working practices. Understanding of observability and resilience concepts within an SRE context. Additional Skills & Qualifications experience contributing to the design and implementation of new technologies and platform solutions. Exposure to resilience engineering practices, including designing for fault tolerance and graceful degradation. experience implementing or working with observability tooling and practices (e.g. logging, metrics, tracing). Ability to work closely with development teams to align infrastructure and application delivery. Strong sense of ownership, with the determination to see tasks and user stories through to completion. Clear, concise communication skills for collaborating within cross-functional teams and documenting solutions. Why Work Here? You will join a technology-focused environment where reliability, automation and modern engineering practices are at the core of how systems are built and run. The organisation offers the opportunity to work on large-scale, cloud-native platforms with contemporary tooling, giving you scope to deepen your SRE expertise and broaden your cloud and automation skills. You can expect a contract of at least one year with strong potential for extension, providing stability while you contribute to meaningful, high-impact projects. The culture encourages continuous improvement, knowledge sharing and collaborative problem-solving, supporting your professional growth in a modern engineering setting. Work Environment You will work in a cloud-centric environment built primarily on AWS, supporting high-volume, high-speed data systems. The technology stack includes Linux (such as Red Hat Enterprise Linux or CentOS), Python, Ansible, Terraform, Docker and CI/CD pipelines using GitLab CI or GitHub CI. The team follows agile methodologies, working in iterative cycles with user stories, regular ceremonies and close collaboration between developers and reliability engineers. Day-to-day work is hands-on and terminal-focused within Linux environments, with a strong emphasis on automation, observability, security and resilience. The setting is professional and technology-driven, with modern tooling and processes that support efficient remote collaboration and focused engineering work. Location Nottingham, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents - ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements - 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
May 24, 2026
Full time
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents - ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements - 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
Remote Network Monitoring Specialist - Streaming Telemetry Salary: 70,000 - 75,000 Location: Remote Contract: 6-month FTC Role Overview: Our client is looking for an experienced Network Monitoring Specialist to support a major network infrastructure rollout on a 6-month fixed-term basis. This is a hands-on role focused on designing, implementing and commissioning monitoring capability across newly deployed network and fibre infrastructure. The priority is to ensure the environment is fully visible, measurable and supportable from day one. The role would suit someone with strong experience across network observability, alerting, telemetry, dashboards, service health, performance baselining and operational handover. The client is open to different monitoring backgrounds, particularly where candidates have worked with tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry, SNMP, NetFlow/IPFIX or syslog pipelines. You will work closely with network engineering and operational teams to deliver reliable monitoring at pace within a project-led environment. Key Responsibilities: Design and deploy monitoring solutions across newly delivered network infrastructure. Build monitoring capability that provides clear visibility of network health, performance and service availability. Work with monitoring and observability platforms such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, SolarWinds, PRTG, Datadog, Elastic or similar. Support metrics ingestion, retention, alerting, dashboarding and performance visibility. Build or support streaming telemetry pipelines to provide real-time visibility across the network. Implement and refine alerting workflows for service health, escalation and operational response. Develop dashboards and reporting views to support engineering and operational teams. Commission monitoring across network devices, access infrastructure and Layer 1-3 equipment. Define baseline performance metrics, thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge transfer into internal technical teams. What We're Looking For: Previous experience in a senior network monitoring, network engineering or observability-focused role. Experience working in a telecoms, ISP, managed network or large-scale infrastructure environment. Strong understanding of network monitoring principles, including alerting, telemetry, dashboards, service health and performance baselining. Hands-on experience with monitoring or observability tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry or similar. Experience with network data sources and protocols such as streaming telemetry, gNMI, gRPC, SNMP, NetFlow/IPFIX or syslog. Good understanding of time-series monitoring, metrics ingestion, retention and performance visibility. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical or fibre environments. Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Scripting or automation experience, such as Python or Bash, would be advantageous. Comfortable working independently and delivering against defined project milestones. Strong communication, documentation and stakeholder engagement skills. Proactive, detail-focused and comfortable solving problems without heavy direction. Why Consider This Role? This is a strong opportunity to join a business delivering a major network infrastructure programme, in a role where monitoring and observability are central to successful delivery. You will be taking ownership of a critical technical area rather than simply maintaining an existing setup. The focus is on making sure newly deployed infrastructure is properly monitored, operationally ready and reliable from day one. For someone with strong network monitoring experience, this offers a focused 6-month project where you can make a visible impact across a live network environment, using a range of modern monitoring, telemetry and observability technologies. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 23, 2026
Full time
Remote Network Monitoring Specialist - Streaming Telemetry Salary: 70,000 - 75,000 Location: Remote Contract: 6-month FTC Role Overview: Our client is looking for an experienced Network Monitoring Specialist to support a major network infrastructure rollout on a 6-month fixed-term basis. This is a hands-on role focused on designing, implementing and commissioning monitoring capability across newly deployed network and fibre infrastructure. The priority is to ensure the environment is fully visible, measurable and supportable from day one. The role would suit someone with strong experience across network observability, alerting, telemetry, dashboards, service health, performance baselining and operational handover. The client is open to different monitoring backgrounds, particularly where candidates have worked with tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry, SNMP, NetFlow/IPFIX or syslog pipelines. You will work closely with network engineering and operational teams to deliver reliable monitoring at pace within a project-led environment. Key Responsibilities: Design and deploy monitoring solutions across newly delivered network infrastructure. Build monitoring capability that provides clear visibility of network health, performance and service availability. Work with monitoring and observability platforms such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, SolarWinds, PRTG, Datadog, Elastic or similar. Support metrics ingestion, retention, alerting, dashboarding and performance visibility. Build or support streaming telemetry pipelines to provide real-time visibility across the network. Implement and refine alerting workflows for service health, escalation and operational response. Develop dashboards and reporting views to support engineering and operational teams. Commission monitoring across network devices, access infrastructure and Layer 1-3 equipment. Define baseline performance metrics, thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge transfer into internal technical teams. What We're Looking For: Previous experience in a senior network monitoring, network engineering or observability-focused role. Experience working in a telecoms, ISP, managed network or large-scale infrastructure environment. Strong understanding of network monitoring principles, including alerting, telemetry, dashboards, service health and performance baselining. Hands-on experience with monitoring or observability tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry or similar. Experience with network data sources and protocols such as streaming telemetry, gNMI, gRPC, SNMP, NetFlow/IPFIX or syslog. Good understanding of time-series monitoring, metrics ingestion, retention and performance visibility. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical or fibre environments. Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Scripting or automation experience, such as Python or Bash, would be advantageous. Comfortable working independently and delivering against defined project milestones. Strong communication, documentation and stakeholder engagement skills. Proactive, detail-focused and comfortable solving problems without heavy direction. Why Consider This Role? This is a strong opportunity to join a business delivering a major network infrastructure programme, in a role where monitoring and observability are central to successful delivery. You will be taking ownership of a critical technical area rather than simply maintaining an existing setup. The focus is on making sure newly deployed infrastructure is properly monitored, operationally ready and reliable from day one. For someone with strong network monitoring experience, this offers a focused 6-month project where you can make a visible impact across a live network environment, using a range of modern monitoring, telemetry and observability technologies. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Senior AI Engineer - GCP / Machine Learning / AI Agents £75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship We re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement. Key Responsibilities: Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Support the technical direction of AI Engineering initiatives Mentor and support other AI Engineers within the wider team Collaborate closely with Digital Products, AI & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Contribute toward architecture, experimentation and proof-of-concept initiatives Required Experience: Strong Software Engineering background (Python preferred) Commercial AI / Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML / AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical leadership experience advantageous Desirable Technologies GCP / Vertex AI Gemini Python AI Agents / ADK Machine Learning Frameworks APIs & Microservices Docker / Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term progression potential as the AI function expands . T6/MN/(phone number removed).
May 23, 2026
Full time
Senior AI Engineer - GCP / Machine Learning / AI Agents £75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship We re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement. Key Responsibilities: Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Support the technical direction of AI Engineering initiatives Mentor and support other AI Engineers within the wider team Collaborate closely with Digital Products, AI & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Contribute toward architecture, experimentation and proof-of-concept initiatives Required Experience: Strong Software Engineering background (Python preferred) Commercial AI / Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML / AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical leadership experience advantageous Desirable Technologies GCP / Vertex AI Gemini Python AI Agents / ADK Machine Learning Frameworks APIs & Microservices Docker / Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term progression potential as the AI function expands . T6/MN/(phone number removed).
Remote Network Monitoring Specialist - Streaming Telemetry Salary: 70,000 - 75,000 Location: Remote Contract: 6-month FTC Role Overview: Our client is looking for an experienced Network Monitoring Specialist to support a major network infrastructure rollout on a 6-month fixed-term basis. This is a hands-on role focused on designing, implementing and commissioning monitoring capability across newly deployed network and fibre infrastructure. The priority is to ensure the environment is fully visible, measurable and supportable from day one. The role would suit someone with strong experience across network observability, alerting, telemetry, dashboards, service health, performance baselining and operational handover. The client is open to different monitoring backgrounds, particularly where candidates have worked with tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry, SNMP, NetFlow/IPFIX or syslog pipelines. You will work closely with network engineering and operational teams to deliver reliable monitoring at pace within a project-led environment. Key Responsibilities: Design and deploy monitoring solutions across newly delivered network infrastructure. Build monitoring capability that provides clear visibility of network health, performance and service availability. Work with monitoring and observability platforms such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, SolarWinds, PRTG, Datadog, Elastic or similar. Support metrics ingestion, retention, alerting, dashboarding and performance visibility. Build or support streaming telemetry pipelines to provide real-time visibility across the network. Implement and refine alerting workflows for service health, escalation and operational response. Develop dashboards and reporting views to support engineering and operational teams. Commission monitoring across network devices, access infrastructure and Layer 1-3 equipment. Define baseline performance metrics, thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge transfer into internal technical teams. What We're Looking For: Previous experience in a senior network monitoring, network engineering or observability-focused role. Experience working in a telecoms, ISP, managed network or large-scale infrastructure environment. Strong understanding of network monitoring principles, including alerting, telemetry, dashboards, service health and performance baselining. Hands-on experience with monitoring or observability tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry or similar. Experience with network data sources and protocols such as streaming telemetry, gNMI, gRPC, SNMP, NetFlow/IPFIX or syslog. Good understanding of time-series monitoring, metrics ingestion, retention and performance visibility. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical or fibre environments. Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Scripting or automation experience, such as Python or Bash, would be advantageous. Comfortable working independently and delivering against defined project milestones. Strong communication, documentation and stakeholder engagement skills. Proactive, detail-focused and comfortable solving problems without heavy direction. Why Consider This Role? This is a strong opportunity to join a business delivering a major network infrastructure programme, in a role where monitoring and observability are central to successful delivery. You will be taking ownership of a critical technical area rather than simply maintaining an existing setup. The focus is on making sure newly deployed infrastructure is properly monitored, operationally ready and reliable from day one. For someone with strong network monitoring experience, this offers a focused 6-month project where you can make a visible impact across a live network environment, using a range of modern monitoring, telemetry and observability technologies. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 23, 2026
Full time
Remote Network Monitoring Specialist - Streaming Telemetry Salary: 70,000 - 75,000 Location: Remote Contract: 6-month FTC Role Overview: Our client is looking for an experienced Network Monitoring Specialist to support a major network infrastructure rollout on a 6-month fixed-term basis. This is a hands-on role focused on designing, implementing and commissioning monitoring capability across newly deployed network and fibre infrastructure. The priority is to ensure the environment is fully visible, measurable and supportable from day one. The role would suit someone with strong experience across network observability, alerting, telemetry, dashboards, service health, performance baselining and operational handover. The client is open to different monitoring backgrounds, particularly where candidates have worked with tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry, SNMP, NetFlow/IPFIX or syslog pipelines. You will work closely with network engineering and operational teams to deliver reliable monitoring at pace within a project-led environment. Key Responsibilities: Design and deploy monitoring solutions across newly delivered network infrastructure. Build monitoring capability that provides clear visibility of network health, performance and service availability. Work with monitoring and observability platforms such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, SolarWinds, PRTG, Datadog, Elastic or similar. Support metrics ingestion, retention, alerting, dashboarding and performance visibility. Build or support streaming telemetry pipelines to provide real-time visibility across the network. Implement and refine alerting workflows for service health, escalation and operational response. Develop dashboards and reporting views to support engineering and operational teams. Commission monitoring across network devices, access infrastructure and Layer 1-3 equipment. Define baseline performance metrics, thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge transfer into internal technical teams. What We're Looking For: Previous experience in a senior network monitoring, network engineering or observability-focused role. Experience working in a telecoms, ISP, managed network or large-scale infrastructure environment. Strong understanding of network monitoring principles, including alerting, telemetry, dashboards, service health and performance baselining. Hands-on experience with monitoring or observability tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry or similar. Experience with network data sources and protocols such as streaming telemetry, gNMI, gRPC, SNMP, NetFlow/IPFIX or syslog. Good understanding of time-series monitoring, metrics ingestion, retention and performance visibility. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical or fibre environments. Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Scripting or automation experience, such as Python or Bash, would be advantageous. Comfortable working independently and delivering against defined project milestones. Strong communication, documentation and stakeholder engagement skills. Proactive, detail-focused and comfortable solving problems without heavy direction. Why Consider This Role? This is a strong opportunity to join a business delivering a major network infrastructure programme, in a role where monitoring and observability are central to successful delivery. You will be taking ownership of a critical technical area rather than simply maintaining an existing setup. The focus is on making sure newly deployed infrastructure is properly monitored, operationally ready and reliable from day one. For someone with strong network monitoring experience, this offers a focused 6-month project where you can make a visible impact across a live network environment, using a range of modern monitoring, telemetry and observability technologies. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Remote Network Monitoring Specialist - Streaming Telemetry Salary: 70,000 - 75,000 Location: Remote Contract: 6-month FTC Role Overview: Our client is looking for an experienced Network Monitoring Specialist to support a major network infrastructure rollout on a 6-month fixed-term basis. This is a hands-on role focused on designing, implementing and commissioning monitoring capability across newly deployed network and fibre infrastructure. The priority is to ensure the environment is fully visible, measurable and supportable from day one. The role would suit someone with strong experience across network observability, alerting, telemetry, dashboards, service health, performance baselining and operational handover. The client is open to different monitoring backgrounds, particularly where candidates have worked with tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry, SNMP, NetFlow/IPFIX or syslog pipelines. You will work closely with network engineering and operational teams to deliver reliable monitoring at pace within a project-led environment. Key Responsibilities: Design and deploy monitoring solutions across newly delivered network infrastructure. Build monitoring capability that provides clear visibility of network health, performance and service availability. Work with monitoring and observability platforms such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, SolarWinds, PRTG, Datadog, Elastic or similar. Support metrics ingestion, retention, alerting, dashboarding and performance visibility. Build or support streaming telemetry pipelines to provide real-time visibility across the network. Implement and refine alerting workflows for service health, escalation and operational response. Develop dashboards and reporting views to support engineering and operational teams. Commission monitoring across network devices, access infrastructure and Layer 1-3 equipment. Define baseline performance metrics, thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge transfer into internal technical teams. What We're Looking For: Previous experience in a senior network monitoring, network engineering or observability-focused role. Experience working in a telecoms, ISP, managed network or large-scale infrastructure environment. Strong understanding of network monitoring principles, including alerting, telemetry, dashboards, service health and performance baselining. Hands-on experience with monitoring or observability tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry or similar. Experience with network data sources and protocols such as streaming telemetry, gNMI, gRPC, SNMP, NetFlow/IPFIX or syslog. Good understanding of time-series monitoring, metrics ingestion, retention and performance visibility. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical or fibre environments. Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Scripting or automation experience, such as Python or Bash, would be advantageous. Comfortable working independently and delivering against defined project milestones. Strong communication, documentation and stakeholder engagement skills. Proactive, detail-focused and comfortable solving problems without heavy direction. Why Consider This Role? This is a strong opportunity to join a business delivering a major network infrastructure programme, in a role where monitoring and observability are central to successful delivery. You will be taking ownership of a critical technical area rather than simply maintaining an existing setup. The focus is on making sure newly deployed infrastructure is properly monitored, operationally ready and reliable from day one. For someone with strong network monitoring experience, this offers a focused 6-month project where you can make a visible impact across a live network environment, using a range of modern monitoring, telemetry and observability technologies. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 23, 2026
Full time
Remote Network Monitoring Specialist - Streaming Telemetry Salary: 70,000 - 75,000 Location: Remote Contract: 6-month FTC Role Overview: Our client is looking for an experienced Network Monitoring Specialist to support a major network infrastructure rollout on a 6-month fixed-term basis. This is a hands-on role focused on designing, implementing and commissioning monitoring capability across newly deployed network and fibre infrastructure. The priority is to ensure the environment is fully visible, measurable and supportable from day one. The role would suit someone with strong experience across network observability, alerting, telemetry, dashboards, service health, performance baselining and operational handover. The client is open to different monitoring backgrounds, particularly where candidates have worked with tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry, SNMP, NetFlow/IPFIX or syslog pipelines. You will work closely with network engineering and operational teams to deliver reliable monitoring at pace within a project-led environment. Key Responsibilities: Design and deploy monitoring solutions across newly delivered network infrastructure. Build monitoring capability that provides clear visibility of network health, performance and service availability. Work with monitoring and observability platforms such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, SolarWinds, PRTG, Datadog, Elastic or similar. Support metrics ingestion, retention, alerting, dashboarding and performance visibility. Build or support streaming telemetry pipelines to provide real-time visibility across the network. Implement and refine alerting workflows for service health, escalation and operational response. Develop dashboards and reporting views to support engineering and operational teams. Commission monitoring across network devices, access infrastructure and Layer 1-3 equipment. Define baseline performance metrics, thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge transfer into internal technical teams. What We're Looking For: Previous experience in a senior network monitoring, network engineering or observability-focused role. Experience working in a telecoms, ISP, managed network or large-scale infrastructure environment. Strong understanding of network monitoring principles, including alerting, telemetry, dashboards, service health and performance baselining. Hands-on experience with monitoring or observability tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry or similar. Experience with network data sources and protocols such as streaming telemetry, gNMI, gRPC, SNMP, NetFlow/IPFIX or syslog. Good understanding of time-series monitoring, metrics ingestion, retention and performance visibility. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical or fibre environments. Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Scripting or automation experience, such as Python or Bash, would be advantageous. Comfortable working independently and delivering against defined project milestones. Strong communication, documentation and stakeholder engagement skills. Proactive, detail-focused and comfortable solving problems without heavy direction. Why Consider This Role? This is a strong opportunity to join a business delivering a major network infrastructure programme, in a role where monitoring and observability are central to successful delivery. You will be taking ownership of a critical technical area rather than simply maintaining an existing setup. The focus is on making sure newly deployed infrastructure is properly monitored, operationally ready and reliable from day one. For someone with strong network monitoring experience, this offers a focused 6-month project where you can make a visible impact across a live network environment, using a range of modern monitoring, telemetry and observability technologies. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Remote Network Monitoring Engineer - VictoriaMetrics 70,000 - 75,000 (pro-rata) 6-month FTC Role Overview: Our client, a growing technology and infrastructure business, is looking for an experienced Network Monitoring Engineer to support a major network infrastructure programme. This is a hands-on role focused on building, improving and commissioning monitoring capability across newly deployed infrastructure and network equipment. The business needs someone who can ensure the environment is visible, measurable and supportable from day one. A key part of the role will be working with VictoriaMetrics in a production environment, including configuration, optimisation, ingestion, retention and performance tuning. You will also work across streaming telemetry, Nagios, Grafana and wider observability tooling. This would suit someone with strong network monitoring experience who is comfortable taking ownership of a critical technical workstream in a project-led environment. Key Responsibilities: Design and deploy monitoring solutions across newly delivered network infrastructure. Configure, optimise and tune VictoriaMetrics for production network monitoring. Support metrics ingestion, retention, query performance and long-term platform reliability. Build streaming telemetry pipelines to provide real-time visibility across the network. Implement and manage Nagios-based monitoring for alerting and service health. Develop dashboards in Grafana, or similar, to support engineering and operational teams. Commission monitoring across network devices, access infrastructure and Layer 1-3 equipment. Define baseline performance metrics, thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support the use of analytics-led monitoring for anomaly detection and predictive fault identification. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge transfer into internal technical teams. What We're Looking for: Strong hands-on experience with VictoriaMetrics in a production environment. Previous experience in a senior network monitoring, network engineering or observability-focused role. Experience working in a telecoms, ISP, managed network or large-scale infrastructure environment. Good understanding of time-series monitoring, metrics ingestion, retention and performance tuning. Solid knowledge of Nagios, including configuration, plugins and alerting workflows. Experience with streaming telemetry tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Familiarity with Grafana, Prometheus or similar observability tools. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Knowledge of SNMP, NetFlow/IPFIX or syslog pipelines would be useful. Scripting or automation experience, such as Python, would be advantageous. Comfortable working independently and delivering against defined project milestones. Strong communication, documentation and stakeholder engagement skills. Proactive, detail-focused and comfortable solving problems without heavy direction. Why Consider this Role? This is a strong opportunity to join a business delivering a major network infrastructure programme, in a role where monitoring and observability are central to successful delivery. You will be taking ownership of a critical technical area rather than simply maintaining an existing setup. The focus is on making sure newly deployed infrastructure is properly monitored, operationally ready and reliable from day one. For someone with strong VictoriaMetrics experience, this offers a focused 6-month project where you can make a visible impact across a live network environment. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 23, 2026
Full time
Remote Network Monitoring Engineer - VictoriaMetrics 70,000 - 75,000 (pro-rata) 6-month FTC Role Overview: Our client, a growing technology and infrastructure business, is looking for an experienced Network Monitoring Engineer to support a major network infrastructure programme. This is a hands-on role focused on building, improving and commissioning monitoring capability across newly deployed infrastructure and network equipment. The business needs someone who can ensure the environment is visible, measurable and supportable from day one. A key part of the role will be working with VictoriaMetrics in a production environment, including configuration, optimisation, ingestion, retention and performance tuning. You will also work across streaming telemetry, Nagios, Grafana and wider observability tooling. This would suit someone with strong network monitoring experience who is comfortable taking ownership of a critical technical workstream in a project-led environment. Key Responsibilities: Design and deploy monitoring solutions across newly delivered network infrastructure. Configure, optimise and tune VictoriaMetrics for production network monitoring. Support metrics ingestion, retention, query performance and long-term platform reliability. Build streaming telemetry pipelines to provide real-time visibility across the network. Implement and manage Nagios-based monitoring for alerting and service health. Develop dashboards in Grafana, or similar, to support engineering and operational teams. Commission monitoring across network devices, access infrastructure and Layer 1-3 equipment. Define baseline performance metrics, thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support the use of analytics-led monitoring for anomaly detection and predictive fault identification. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge transfer into internal technical teams. What We're Looking for: Strong hands-on experience with VictoriaMetrics in a production environment. Previous experience in a senior network monitoring, network engineering or observability-focused role. Experience working in a telecoms, ISP, managed network or large-scale infrastructure environment. Good understanding of time-series monitoring, metrics ingestion, retention and performance tuning. Solid knowledge of Nagios, including configuration, plugins and alerting workflows. Experience with streaming telemetry tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Familiarity with Grafana, Prometheus or similar observability tools. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Knowledge of SNMP, NetFlow/IPFIX or syslog pipelines would be useful. Scripting or automation experience, such as Python, would be advantageous. Comfortable working independently and delivering against defined project milestones. Strong communication, documentation and stakeholder engagement skills. Proactive, detail-focused and comfortable solving problems without heavy direction. Why Consider this Role? This is a strong opportunity to join a business delivering a major network infrastructure programme, in a role where monitoring and observability are central to successful delivery. You will be taking ownership of a critical technical area rather than simply maintaining an existing setup. The focus is on making sure newly deployed infrastructure is properly monitored, operationally ready and reliable from day one. For someone with strong VictoriaMetrics experience, this offers a focused 6-month project where you can make a visible impact across a live network environment. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Lead Data Platform Specialist - Up to 85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. You need to have strong experience working with Databricks You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 23, 2026
Full time
Lead Data Platform Specialist - Up to 85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. You need to have strong experience working with Databricks You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
May 23, 2026
Full time
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
AWS Technical Architect +6 months + +Fully remote +SC cleared role - current active clearance is essential As an AWS Technical Architect, you'll take high-level customer requirements and turn them into practical, secure, and production-ready AWS solutions. You'll work closely with CloudOps, DevOps, engineering teams, and customer stakeholders to design cloud platforms that are scalable, resilient, secure, and cost-effective. This is a hands-on role but also highly collaborative and strategic - ideal for someone who enjoys solving complex technical problems while guiding teams and influencing architecture decisions. Solution Design: Architecting cloud solutions on AWS according to business requirements, covering infrastructure design, application architecture, security, and integration patterns. DevOps Automation and IaC: Champion an automation-first mindset, ensuring all scalable architectures are driven by Terraform Infrastructure as Code (IaC) and modern automation tools. Cloud Migration: Assisting in migrating on-premises infrastructure and applications to AWS cloud with minimal disruption and optimal performance. Security and Compliance: Implementing security best practices and compliance standards within AWS environments, including identity and access management, encryption, and network security. Network Architecture: Establish central AWS transit and network infrastructure, acting as the core gateway for all inter-account communication and outbound traffic to external services. Cost Optimization: Designing cost-effective solutions by selecting appropriate AWS services and implementing cost management strategies. High Availability and Disaster Recovery: Designing architectures for high availability and disaster recovery using AWS services. Performance Optimization : Tuning configurations and leveraging AWS services for optimal performance of applications and infrastructure. Monitoring and Logging: Implementing monitoring, logging, and alerting solutions using AWS CloudWatch and CloudTrail to ensure the health, performance, and security of AWS environments. Technical Leadership and Collaboration: Providing leadership, guidance, and mentorship to team members, collaborating with cross-functional teams. Continuous Learning and Innovation: Staying updated with the latest AWS services and best practices, driving innovation for improved efficiency and reliability of AWS solutions. Experience required: Proven track record as an AWS Technical Architect Hands-on experience across AWS/public cloud environments Strong practical AWS knowledge across infrastructure, networking, security, and cloud operations Experience working closely with DevOps and CloudOps teams Proficiency in deploying Landing Zone, particularly Secure Landing Zone/PALZ and expertise in Control Tower and AWS Organizations. Practical experience in designing and implementing Continuous Integration and Deployment utilizing tools like GitHub Actions. Expertise in managing and maintaining secure AWS cloud environments and various AWS security services. Experience with authentication and authorization protocols such as OAUTH2, SAML2.0, and OIDC. Proficiency in designing and implementing cloud-native solutions, including serverless applications, containerised applications, CI/CD pipelines, Network Infrastructures like Transit Gateway and Direct Connect, Identity and Access Management, and programmable infrastructure. Knowledge and experience in infrastructure as code solutions using tools like Terraform, GitHub Actions, Python, Bash or PowerShell. Experience with network concepts such as VPC, Transit Gateways, Gateway Load Balancers, AWS Private Link, Endpoint Services, Route 53, IPAM, CIDR management, and hybrid networks. Proficiency in tools like Git/GitHub, Confluence, Jira, and ServiceNow. If you'd like to discuss the AWS Technical Architect role in more detail, please send your updated CV to (url removed) and I will get in touch.
May 22, 2026
Contractor
AWS Technical Architect +6 months + +Fully remote +SC cleared role - current active clearance is essential As an AWS Technical Architect, you'll take high-level customer requirements and turn them into practical, secure, and production-ready AWS solutions. You'll work closely with CloudOps, DevOps, engineering teams, and customer stakeholders to design cloud platforms that are scalable, resilient, secure, and cost-effective. This is a hands-on role but also highly collaborative and strategic - ideal for someone who enjoys solving complex technical problems while guiding teams and influencing architecture decisions. Solution Design: Architecting cloud solutions on AWS according to business requirements, covering infrastructure design, application architecture, security, and integration patterns. DevOps Automation and IaC: Champion an automation-first mindset, ensuring all scalable architectures are driven by Terraform Infrastructure as Code (IaC) and modern automation tools. Cloud Migration: Assisting in migrating on-premises infrastructure and applications to AWS cloud with minimal disruption and optimal performance. Security and Compliance: Implementing security best practices and compliance standards within AWS environments, including identity and access management, encryption, and network security. Network Architecture: Establish central AWS transit and network infrastructure, acting as the core gateway for all inter-account communication and outbound traffic to external services. Cost Optimization: Designing cost-effective solutions by selecting appropriate AWS services and implementing cost management strategies. High Availability and Disaster Recovery: Designing architectures for high availability and disaster recovery using AWS services. Performance Optimization : Tuning configurations and leveraging AWS services for optimal performance of applications and infrastructure. Monitoring and Logging: Implementing monitoring, logging, and alerting solutions using AWS CloudWatch and CloudTrail to ensure the health, performance, and security of AWS environments. Technical Leadership and Collaboration: Providing leadership, guidance, and mentorship to team members, collaborating with cross-functional teams. Continuous Learning and Innovation: Staying updated with the latest AWS services and best practices, driving innovation for improved efficiency and reliability of AWS solutions. Experience required: Proven track record as an AWS Technical Architect Hands-on experience across AWS/public cloud environments Strong practical AWS knowledge across infrastructure, networking, security, and cloud operations Experience working closely with DevOps and CloudOps teams Proficiency in deploying Landing Zone, particularly Secure Landing Zone/PALZ and expertise in Control Tower and AWS Organizations. Practical experience in designing and implementing Continuous Integration and Deployment utilizing tools like GitHub Actions. Expertise in managing and maintaining secure AWS cloud environments and various AWS security services. Experience with authentication and authorization protocols such as OAUTH2, SAML2.0, and OIDC. Proficiency in designing and implementing cloud-native solutions, including serverless applications, containerised applications, CI/CD pipelines, Network Infrastructures like Transit Gateway and Direct Connect, Identity and Access Management, and programmable infrastructure. Knowledge and experience in infrastructure as code solutions using tools like Terraform, GitHub Actions, Python, Bash or PowerShell. Experience with network concepts such as VPC, Transit Gateways, Gateway Load Balancers, AWS Private Link, Endpoint Services, Route 53, IPAM, CIDR management, and hybrid networks. Proficiency in tools like Git/GitHub, Confluence, Jira, and ServiceNow. If you'd like to discuss the AWS Technical Architect role in more detail, please send your updated CV to (url removed) and I will get in touch.
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
May 22, 2026
Full time
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
May 20, 2026
Full time
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
General Knowledge & Experience Personal Experience - zSeries Storage Management/Engineering background preferred or experience to equivalent level - Working and partnering with vendors (eg IBM, DELL, Broadcom) - Supporting and/or leading technical management of large infrastructure deployment projects - Experience supporting large-scale enterprise IT environment and the Embedded controls within change, incident, and problem management processes - Experience working with Agile working practices and tooling - Experience and awareness of security, audit, risk and compliance within enterprise IT environment Personal Skills - Ability to work under pressure to deadlines - Strong work ethic - Collaborating with others and building a network - Strong interpersonal skills - Ability to pitch communications to a variety of stakeholders Hardware Technical Skills - IBM DS8K disk hardware installation design, upgrade and support skills including DSCLI Scripting and familiarity with HMC GUI - DELL DLM virtual tape (VTE with Data Domain) hardware installation design, upgrade and support skills with knowledge of GUI, NFS and Linux - Broadcom (Brocade) DCX hardware skills and FICON/FIBRE concepts and configuration. Set-up and utilising SanNav and Maps Software Technical Skills - IBM core knowledge: z/OS, TSO, SDSF, JCL, IDCAMS, IWS - IBM storage knowledge: DFHSM, DFDSS, ICKDSF, DFSMS (inc OAM), TDMF, GDPS, CSM - Broadcom (CA): CA1, CA Vantage, CA Disk, CA Allocate, CA View, Endeavor - Dino Software: T-rex, Terradon - Rocket: CR+ - Interchip: RTD Additional skills (optional) - Knowledge of zSeries Systems Programming concepts and technologies - Awareness of Network technologies and Dark Fibre concepts - Awareness of newer or emerging technologies - Awareness of IBM Virtual tape solutions (TS7700's) - Experience of data centre migrations - Knowledge of: GKLM, Spectrum Control and Storage insights and API exploitation - Knowledge of Ansible Automation Platform (AAP), GitHub, Jenkins - Programing/Scripting languages: Rexx, Python, YAML The zSeries Storage Engineer is responsible for leading, building and supporting the zSeries Storage hardware and software infrastructure. This role will carry out some or all of the following activities Perform a Technical Project Management role for large zSeries infrastructure deployment and evergreening projects Setup automation to reduce manaual interventions in the Storage infrastructure Test new software and exploit functionality Consolidate and reduce infrastructure complexity Risk and Cost Management Ensure Service Quality Targets are met for offered platform services Business stakeholder management Vendor liaison and management zSeries Storage hardware/software design, configuration, testing, implementation and support Location: Sheffield Client: HSBC Day Rate: negotiable (Inside IR35) Hybrid/Remote: Hybrid (2-3 days in office)
May 20, 2026
Contractor
General Knowledge & Experience Personal Experience - zSeries Storage Management/Engineering background preferred or experience to equivalent level - Working and partnering with vendors (eg IBM, DELL, Broadcom) - Supporting and/or leading technical management of large infrastructure deployment projects - Experience supporting large-scale enterprise IT environment and the Embedded controls within change, incident, and problem management processes - Experience working with Agile working practices and tooling - Experience and awareness of security, audit, risk and compliance within enterprise IT environment Personal Skills - Ability to work under pressure to deadlines - Strong work ethic - Collaborating with others and building a network - Strong interpersonal skills - Ability to pitch communications to a variety of stakeholders Hardware Technical Skills - IBM DS8K disk hardware installation design, upgrade and support skills including DSCLI Scripting and familiarity with HMC GUI - DELL DLM virtual tape (VTE with Data Domain) hardware installation design, upgrade and support skills with knowledge of GUI, NFS and Linux - Broadcom (Brocade) DCX hardware skills and FICON/FIBRE concepts and configuration. Set-up and utilising SanNav and Maps Software Technical Skills - IBM core knowledge: z/OS, TSO, SDSF, JCL, IDCAMS, IWS - IBM storage knowledge: DFHSM, DFDSS, ICKDSF, DFSMS (inc OAM), TDMF, GDPS, CSM - Broadcom (CA): CA1, CA Vantage, CA Disk, CA Allocate, CA View, Endeavor - Dino Software: T-rex, Terradon - Rocket: CR+ - Interchip: RTD Additional skills (optional) - Knowledge of zSeries Systems Programming concepts and technologies - Awareness of Network technologies and Dark Fibre concepts - Awareness of newer or emerging technologies - Awareness of IBM Virtual tape solutions (TS7700's) - Experience of data centre migrations - Knowledge of: GKLM, Spectrum Control and Storage insights and API exploitation - Knowledge of Ansible Automation Platform (AAP), GitHub, Jenkins - Programing/Scripting languages: Rexx, Python, YAML The zSeries Storage Engineer is responsible for leading, building and supporting the zSeries Storage hardware and software infrastructure. This role will carry out some or all of the following activities Perform a Technical Project Management role for large zSeries infrastructure deployment and evergreening projects Setup automation to reduce manaual interventions in the Storage infrastructure Test new software and exploit functionality Consolidate and reduce infrastructure complexity Risk and Cost Management Ensure Service Quality Targets are met for offered platform services Business stakeholder management Vendor liaison and management zSeries Storage hardware/software design, configuration, testing, implementation and support Location: Sheffield Client: HSBC Day Rate: negotiable (Inside IR35) Hybrid/Remote: Hybrid (2-3 days in office)
Cloud DevOps Engineer (SC Cleared) - Hybrid - Manchester Salary: £65,000 - £75,000 pa (depending on experience) plus benefits, perks and healthcare options Location: Hybrid - Remote / 1to2 x days per week - Travel to Central Manchester Job Type: Permanent Security Clearance: This role is exclusively open to UK sole nationals ONLY who either hold or are eligible for Security Clearance (SC). We are on the lookout for a talented and motivated Cloud DevOps Engineers to join a dynamic Cloud Pod. The client works in focused, agile teams called Pods - groups of technical professionals who come together to build and maintain cloud platforms. If you enjoy working in a team-oriented environment and are passionate about continuous learning, we'd love to hear from you. Your Role: Build and maintain cloud platforms with a high degree of focus on technical reuse, standardisation and blueprints; think code first rather than "ClickOps" Embrace modern ways of working and feel part of our customer's outcomes as we group around activities in agile type sprints. Continue to strengthen and bolster your existing capabilities in platform engineering through a mix of professional training, certifications, and experiences. Your skills and experience Experience working with cloud platforms such as AWS and Azure. Familiarity with scripting and resource monitoring using tools like YAML, PowerShell, JSON, or Python, with a focus on automation and reducing manual tasks. Exposure to infrastructure-as-code tools such as CloudFormation, ARM templates, Terraform, or Bicep. Understanding of DevOps practices and tools, including GitHub, Azure DevOps (Boards, Pipelines, Artifacts), and observability tools like Splunk. Experience contributing to end-to-end delivery using ITIL frameworks, with a focus on collaboration and continuous improvement. Security Clearance Requirements: Ideally you will currently hold valid SC level Security clearance or at a minimum you must be eligible for Security Check (SC) clearance. Applicants must have resided continuously in the UK for the past 5 years. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send your CV in application to James Money -
Oct 07, 2025
Full time
Cloud DevOps Engineer (SC Cleared) - Hybrid - Manchester Salary: £65,000 - £75,000 pa (depending on experience) plus benefits, perks and healthcare options Location: Hybrid - Remote / 1to2 x days per week - Travel to Central Manchester Job Type: Permanent Security Clearance: This role is exclusively open to UK sole nationals ONLY who either hold or are eligible for Security Clearance (SC). We are on the lookout for a talented and motivated Cloud DevOps Engineers to join a dynamic Cloud Pod. The client works in focused, agile teams called Pods - groups of technical professionals who come together to build and maintain cloud platforms. If you enjoy working in a team-oriented environment and are passionate about continuous learning, we'd love to hear from you. Your Role: Build and maintain cloud platforms with a high degree of focus on technical reuse, standardisation and blueprints; think code first rather than "ClickOps" Embrace modern ways of working and feel part of our customer's outcomes as we group around activities in agile type sprints. Continue to strengthen and bolster your existing capabilities in platform engineering through a mix of professional training, certifications, and experiences. Your skills and experience Experience working with cloud platforms such as AWS and Azure. Familiarity with scripting and resource monitoring using tools like YAML, PowerShell, JSON, or Python, with a focus on automation and reducing manual tasks. Exposure to infrastructure-as-code tools such as CloudFormation, ARM templates, Terraform, or Bicep. Understanding of DevOps practices and tools, including GitHub, Azure DevOps (Boards, Pipelines, Artifacts), and observability tools like Splunk. Experience contributing to end-to-end delivery using ITIL frameworks, with a focus on collaboration and continuous improvement. Security Clearance Requirements: Ideally you will currently hold valid SC level Security clearance or at a minimum you must be eligible for Security Check (SC) clearance. Applicants must have resided continuously in the UK for the past 5 years. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send your CV in application to James Money -
Cloud DevOps Engineer (SC Cleared) - Hybrid - Manchester Salary: £65,000 - £75,000 pa (depending on experience) plus benefits, perks and healthcare options Location: Hybrid - Remote/1to2 x days per week - Travel to Central Manchester Job Type: Permanent Security Clearance: This role is exclusively open to UK sole nationals ONLY who either hold or are eligible for Security Clearance (SC). We are on the lookout for a talented and motivated Cloud DevOps Engineers to join a dynamic Cloud Pod. The client works in focused, agile teams called Pods - groups of technical professionals who come together to build and maintain cloud platforms. If you enjoy working in a team-oriented environment and are passionate about continuous learning, we'd love to hear from you. Your Role: Build and maintain cloud platforms with a high degree of focus on technical reuse, standardisation and blueprints; think code first rather than "ClickOps" Embrace modern ways of working and feel part of our customer's outcomes as we group around activities in agile type sprints. Continue to strengthen and bolster your existing capabilities in platform engineering through a mix of professional training, certifications, and experiences. Your skills and experience Experience working with cloud platforms such as AWS and Azure. Familiarity with Scripting and resource monitoring using tools like YAML, PowerShell, JSON, or Python, with a focus on automation and reducing manual tasks. Exposure to infrastructure-as-code tools such as CloudFormation, ARM templates, Terraform, or Bicep. Understanding of DevOps practices and tools, including GitHub, Azure DevOps (Boards, Pipelines, Artifacts), and observability tools like Splunk. Experience contributing to end-to-end delivery using ITIL frameworks, with a focus on collaboration and continuous improvement. Security Clearance Requirements: Ideally you will currently hold valid SC level Security clearance or at a minimum you must be eligible for Security Check (SC) clearance. Applicants must have resided continuously in the UK for the past 5 years. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send your CV in application to James Money -
Oct 06, 2025
Full time
Cloud DevOps Engineer (SC Cleared) - Hybrid - Manchester Salary: £65,000 - £75,000 pa (depending on experience) plus benefits, perks and healthcare options Location: Hybrid - Remote/1to2 x days per week - Travel to Central Manchester Job Type: Permanent Security Clearance: This role is exclusively open to UK sole nationals ONLY who either hold or are eligible for Security Clearance (SC). We are on the lookout for a talented and motivated Cloud DevOps Engineers to join a dynamic Cloud Pod. The client works in focused, agile teams called Pods - groups of technical professionals who come together to build and maintain cloud platforms. If you enjoy working in a team-oriented environment and are passionate about continuous learning, we'd love to hear from you. Your Role: Build and maintain cloud platforms with a high degree of focus on technical reuse, standardisation and blueprints; think code first rather than "ClickOps" Embrace modern ways of working and feel part of our customer's outcomes as we group around activities in agile type sprints. Continue to strengthen and bolster your existing capabilities in platform engineering through a mix of professional training, certifications, and experiences. Your skills and experience Experience working with cloud platforms such as AWS and Azure. Familiarity with Scripting and resource monitoring using tools like YAML, PowerShell, JSON, or Python, with a focus on automation and reducing manual tasks. Exposure to infrastructure-as-code tools such as CloudFormation, ARM templates, Terraform, or Bicep. Understanding of DevOps practices and tools, including GitHub, Azure DevOps (Boards, Pipelines, Artifacts), and observability tools like Splunk. Experience contributing to end-to-end delivery using ITIL frameworks, with a focus on collaboration and continuous improvement. Security Clearance Requirements: Ideally you will currently hold valid SC level Security clearance or at a minimum you must be eligible for Security Check (SC) clearance. Applicants must have resided continuously in the UK for the past 5 years. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send your CV in application to James Money -
Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role. *Unfortunately we can't consider candidates that require sponsorship* Compensation: Up to £65,000 + package Key Responsibilities: Research and deploy LLM-based solutions (eg, LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for Real Time and batch processing. Manage ML life cycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (eg, ISO27001). Ensure data governance, particularly around sensitive healthcare data. Share best practices and stay current with developments in AI, ML, and LLMs. Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding of healthcare data privacy, compliance (eg, ISO standards), and secure data handling. Strong communication skills and ability to work cross-functionally in a collaborative environment If this sounds like it could be a good fit, click apply! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Oct 02, 2025
Full time
Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role. *Unfortunately we can't consider candidates that require sponsorship* Compensation: Up to £65,000 + package Key Responsibilities: Research and deploy LLM-based solutions (eg, LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for Real Time and batch processing. Manage ML life cycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (eg, ISO27001). Ensure data governance, particularly around sensitive healthcare data. Share best practices and stay current with developments in AI, ML, and LLMs. Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding of healthcare data privacy, compliance (eg, ISO standards), and secure data handling. Strong communication skills and ability to work cross-functionally in a collaborative environment If this sounds like it could be a good fit, click apply! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Python Software Engineer with key skills in python, MySQL and a passion for AI and automation technology is sought on a fully remote basis by a market leading financial services organisation based near Manchester. With recent investment this Python Software Engineer will work closely with the lead Engineer on new platform functionality aimed at creating AI and automation middleware to help drive business efficiencies whilst improving usability for the end user. This role would suit a mid level software engineer with experience working within the financial services space who relishes using the latest technology to build innovative solutions that quickly solve business problems with the ability to understand and translate business requirements into technical solutions. This Python Software engineer should have at least 3 years experience in most of the following: - Strong commercial python development experience# - Framework experience - Flask,Django, FastAPI etc - Solid MySQL skills - Experience working in a fast-paced financial services/ FinTech environment - Azure cloud exposure would be useful - Strong communication and stakeholder engagement skills - Any experience integrating automation / AI/ ML solutions into existing platforms would be a real plus In return this Python Software Engineer will receive - Base salary of up to £65,000 - Long term, full remote working - Bonus scheme - Flexible working hours - Clear progression and personal development opportunities - 25 days annual leave plus bank holidays - Private pension - Private healthcare - Regular salary reviews So if you are a software engineer who gets excited about greenfield development and progressing quickly in this market leading company please apply now. Python Software Engineer Up to £65,000 London, Birmingham, Manchester, Leeds, Bristol (long term remote working) Python, Flask ,Azure, MySQL, API, Django, FastAPI
Oct 02, 2025
Full time
Python Software Engineer with key skills in python, MySQL and a passion for AI and automation technology is sought on a fully remote basis by a market leading financial services organisation based near Manchester. With recent investment this Python Software Engineer will work closely with the lead Engineer on new platform functionality aimed at creating AI and automation middleware to help drive business efficiencies whilst improving usability for the end user. This role would suit a mid level software engineer with experience working within the financial services space who relishes using the latest technology to build innovative solutions that quickly solve business problems with the ability to understand and translate business requirements into technical solutions. This Python Software engineer should have at least 3 years experience in most of the following: - Strong commercial python development experience# - Framework experience - Flask,Django, FastAPI etc - Solid MySQL skills - Experience working in a fast-paced financial services/ FinTech environment - Azure cloud exposure would be useful - Strong communication and stakeholder engagement skills - Any experience integrating automation / AI/ ML solutions into existing platforms would be a real plus In return this Python Software Engineer will receive - Base salary of up to £65,000 - Long term, full remote working - Bonus scheme - Flexible working hours - Clear progression and personal development opportunities - 25 days annual leave plus bank holidays - Private pension - Private healthcare - Regular salary reviews So if you are a software engineer who gets excited about greenfield development and progressing quickly in this market leading company please apply now. Python Software Engineer Up to £65,000 London, Birmingham, Manchester, Leeds, Bristol (long term remote working) Python, Flask ,Azure, MySQL, API, Django, FastAPI
ML Ops engineer with Data Science background (AWS services) - London/remote - £536 per day ML Ops engineer with experience i n data science, DevOps, and AWS SageMaker, along with a solid understanding of Agile software development principles. In this role, you will act as a bridge between Data Scientists and IT DevOps Engineers, helping translate experimental ML models into scalable, production-ready applications. You'll play a critical role in building practical solutions to real-world data science challenges, including automating workflows, packaging models, and deploying them as microservices using AWS services . The ideal candidate will be adept at developing end-to-end applications to serve AI/ML models, including those from platforms like Hugging Face, and will work with a modern AWS-based toolchain (SageMaker, Fargate, Bedrock). Your core responsibilities include: Serve as the day-to-day liaison between Data Science and DevOps, ensuring effective deployment and integration of AI/ML solutions using AWS services. Assist DevOps engineers with packaging and deploying ML models, helping them understand AI specific requirements and performance nuances. Design, develop, and deploy standalone and micro-applications to serve AI/ML models, including Hugging Face Transformers and other pre-trained architectures. Build, train, and evaluate ML models using services such as AWS SageMaker, Bedrock, Glue, Athena, Redshift, and RDS. Help create the knowledge artefacts for Data Scientist around DevOps and ML Ops. Where required, hand hold the data scientist and assist them with DevOps engineering issues, package installation issues, creating a Docker container, ML Ops tooling issues. Develop and expose secure APIs using Apigee, enabling easy access to AI functionality across the organization. Manage the entire ML life cycle-from training and validation to versioning, deployment, monitoring, and governance. Build automation pipelines and CI/CD integrations for ML projects using tools like Jenkins and Maven. Solve common challenges faced by Data Scientists, such as model reproducibility, deployment portability, and environment standardization. Assist the product owner to define and implement the ML Ops roadmap. Support knowledge sharing and mentorship across data Scientists teams, promoting a best practice-first culture. What skills are required? Minimum skills: Degree in computer science, economics, data science or another technical field (eg maths, physics, statistics etc.), or equivalent relevant experience Strong programming proficiency in Python (or R), with practical experience in machine learning and statistical modelling. Proven experience delivering end-to-end data science products, including both experimentation and deployment. Solid understanding of data cleaning, feature engineering, and model performance evaluation. Essential skills: Demonstrated experience deploying and maintaining AI/ML models in production environments. Hands-on experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, and Redshift. Familiarity with deploying Hugging Face models (eg, NLP, vision, and generative models) within AWS environments. Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent frameworks. Proficiency with SQL, version control (Git), and working with Jupyter or RStudio environments. Experience integrating with CI/CD pipelines and infrastructure tools like Jenkins, Maven, and Chef. Strong cross-functional collaboration skills and the ability to explain technical concepts to non technical stakeholders. Ability to work across cloud-based architectures. Tools & Technologies: AWS Services: SageMaker, Bedrock, Glue, ECS Fargate, Athena, Kendra, RDS, Redshift, Lambda, CloudWatch Other Tooling: Apigee, Hugging Face, RStudio, Jupyter, Git, Jenkins, Linux Languages & Frameworks: Python, R, Flask, FastAPI, SQL
Oct 01, 2025
Contractor
ML Ops engineer with Data Science background (AWS services) - London/remote - £536 per day ML Ops engineer with experience i n data science, DevOps, and AWS SageMaker, along with a solid understanding of Agile software development principles. In this role, you will act as a bridge between Data Scientists and IT DevOps Engineers, helping translate experimental ML models into scalable, production-ready applications. You'll play a critical role in building practical solutions to real-world data science challenges, including automating workflows, packaging models, and deploying them as microservices using AWS services . The ideal candidate will be adept at developing end-to-end applications to serve AI/ML models, including those from platforms like Hugging Face, and will work with a modern AWS-based toolchain (SageMaker, Fargate, Bedrock). Your core responsibilities include: Serve as the day-to-day liaison between Data Science and DevOps, ensuring effective deployment and integration of AI/ML solutions using AWS services. Assist DevOps engineers with packaging and deploying ML models, helping them understand AI specific requirements and performance nuances. Design, develop, and deploy standalone and micro-applications to serve AI/ML models, including Hugging Face Transformers and other pre-trained architectures. Build, train, and evaluate ML models using services such as AWS SageMaker, Bedrock, Glue, Athena, Redshift, and RDS. Help create the knowledge artefacts for Data Scientist around DevOps and ML Ops. Where required, hand hold the data scientist and assist them with DevOps engineering issues, package installation issues, creating a Docker container, ML Ops tooling issues. Develop and expose secure APIs using Apigee, enabling easy access to AI functionality across the organization. Manage the entire ML life cycle-from training and validation to versioning, deployment, monitoring, and governance. Build automation pipelines and CI/CD integrations for ML projects using tools like Jenkins and Maven. Solve common challenges faced by Data Scientists, such as model reproducibility, deployment portability, and environment standardization. Assist the product owner to define and implement the ML Ops roadmap. Support knowledge sharing and mentorship across data Scientists teams, promoting a best practice-first culture. What skills are required? Minimum skills: Degree in computer science, economics, data science or another technical field (eg maths, physics, statistics etc.), or equivalent relevant experience Strong programming proficiency in Python (or R), with practical experience in machine learning and statistical modelling. Proven experience delivering end-to-end data science products, including both experimentation and deployment. Solid understanding of data cleaning, feature engineering, and model performance evaluation. Essential skills: Demonstrated experience deploying and maintaining AI/ML models in production environments. Hands-on experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, and Redshift. Familiarity with deploying Hugging Face models (eg, NLP, vision, and generative models) within AWS environments. Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent frameworks. Proficiency with SQL, version control (Git), and working with Jupyter or RStudio environments. Experience integrating with CI/CD pipelines and infrastructure tools like Jenkins, Maven, and Chef. Strong cross-functional collaboration skills and the ability to explain technical concepts to non technical stakeholders. Ability to work across cloud-based architectures. Tools & Technologies: AWS Services: SageMaker, Bedrock, Glue, ECS Fargate, Athena, Kendra, RDS, Redshift, Lambda, CloudWatch Other Tooling: Apigee, Hugging Face, RStudio, Jupyter, Git, Jenkins, Linux Languages & Frameworks: Python, R, Flask, FastAPI, SQL
Staff Engineer - Optimisation and Machine Learning London (Hybrid - 3 days in office) Permanent I'm looking to speak to Principal Optimisation Engineers who would be interested in solving complex optimisation that will benefits organisations globally in the Life Sciences industry. You will be working on problems that actually matter, building systems that help scientists run better experiments and make genuine breakthroughs. The Company They are a well-funded Life Sciences automation company that's scaling fast. They're using robotics and intelligent software to fundamentally change how scientific labs operate with industrial-scale optimisation. What You'll Actually Be Doing You'll be the technical lead on some genuinely challenging problems: Optimisation at scale : Building solvers that can handle real-world constraints using OR-Tools, commercial solvers, or your own custom algorithms when nothing else works Production ML systems : Taking academic theories and making them work reliably in production environments (Python, Docker, Kubernetes stack) Pragmatic problem-solving : Knowing when to use exact methods vs when to build heuristics that actually perform at scale Technical leadership : Shaping the technical direction and mentoring other engineers What We're Looking For Deep optimisation knowledge : You've built solvers before and understand the trade-offs between different approaches Strong Python engineering : Not just scripting - proper software engineering with testing, monitoring, and production deployment experience ML systems experience : You've taken ML models from proof-of-concept to production systems that handle real workloads Problem-solving mindset : You enjoy the challenge of constraints and finding elegant solutions to complex problems Any experience in laboratory automation, pharma/biotech, or industrial automation would be beneficial but is not essential. Applicants with strong optimisation backgrounds from supply chain or manufacturing would also be of interest. Why This Role Works Real impact : Your optimisation algorithms will directly influence scientific research happening in labs worldwide Technical depth : Complex problems that require genuine engineering skill, not just following tutorials Hybrid flexibility : 3 days in London office, 2 days remote Strong backing : Well-funded with clear growth trajectory This is the kind of role where your optimisation expertise will be genuinely valued and challenged. If you're tired of basic ML work and want to solve problems that actually require mathematical sophistication, let's talk. APPLY TODAY for immediate consideration.
Sep 24, 2025
Full time
Staff Engineer - Optimisation and Machine Learning London (Hybrid - 3 days in office) Permanent I'm looking to speak to Principal Optimisation Engineers who would be interested in solving complex optimisation that will benefits organisations globally in the Life Sciences industry. You will be working on problems that actually matter, building systems that help scientists run better experiments and make genuine breakthroughs. The Company They are a well-funded Life Sciences automation company that's scaling fast. They're using robotics and intelligent software to fundamentally change how scientific labs operate with industrial-scale optimisation. What You'll Actually Be Doing You'll be the technical lead on some genuinely challenging problems: Optimisation at scale : Building solvers that can handle real-world constraints using OR-Tools, commercial solvers, or your own custom algorithms when nothing else works Production ML systems : Taking academic theories and making them work reliably in production environments (Python, Docker, Kubernetes stack) Pragmatic problem-solving : Knowing when to use exact methods vs when to build heuristics that actually perform at scale Technical leadership : Shaping the technical direction and mentoring other engineers What We're Looking For Deep optimisation knowledge : You've built solvers before and understand the trade-offs between different approaches Strong Python engineering : Not just scripting - proper software engineering with testing, monitoring, and production deployment experience ML systems experience : You've taken ML models from proof-of-concept to production systems that handle real workloads Problem-solving mindset : You enjoy the challenge of constraints and finding elegant solutions to complex problems Any experience in laboratory automation, pharma/biotech, or industrial automation would be beneficial but is not essential. Applicants with strong optimisation backgrounds from supply chain or manufacturing would also be of interest. Why This Role Works Real impact : Your optimisation algorithms will directly influence scientific research happening in labs worldwide Technical depth : Complex problems that require genuine engineering skill, not just following tutorials Hybrid flexibility : 3 days in London office, 2 days remote Strong backing : Well-funded with clear growth trajectory This is the kind of role where your optimisation expertise will be genuinely valued and challenged. If you're tired of basic ML work and want to solve problems that actually require mathematical sophistication, let's talk. APPLY TODAY for immediate consideration.
