Leeds (Hybrid)

6 Month Contract

£(Apply online only)/day (Inside IR35)

Python Full Stack Developer needed for a 6 Month Contract in Leeds (Hybrid). Start ASAP ideally in March 2026.

Hybrid Working - 3 days/week remote (WFH), and 2 days/week working on-site in the Leeds office.

A chance to work with a leading global IT transformation business specialising in large-scale Government projects.

Key experience, responsibilities + tasks:

Leading the design + development of complex applications using Core Python, and web frameworks like Flask + Django.

Strong Python development expertise, and strong leadership skills, including the ability to drive development projects, and mentor junior developers.

Front-end development using Vue.js, JavaScript, CSS and HTML to create seamless user interfaces.

SQL Server database experience, including developing / optimizing SQL Server databases, data analysis, and efficient data storage / retrieval.

Familiar with AWS Cloud Services, Infrastructure as Code (IaC) tools like Terraform, serverless architectures + Docker containers.

Developing applications using event-driven programming paradigms + adhering to design patterns like Model View Template (MVT), and Model View Controller (MVC).

Mentoring junior developers in coding standards, Github version control, and code tracking.

Overseeing integration of various software components, and debugging and trouble-shooting applications.

Implementing best practice in software development, including exception handling, data structures + object-oriented programming (OOP).

Technical Environment: Full Stack, Python, Flask, Django, Vue.js, React, CSS, HTML, Agile methods, Design Patterns, Object Relational Mappers (ORMs), server-side templating languages, Unit/API testing, AWS, CI/CD

Python Developer role (Hybrid - 2 days onsite, 3 days remote)

My client are a Technology company based in Winchester. They build tailored software solutions for their clients for both the public and private sectors.

This role is paying up to £50k and is 2 days in the office, 3 days working from home.

Skills needed for this role:

Requirements

* Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

* Minimum 2–3 years of professional experience developing web applications with Python.

* Proven expertise with FastAPI (or similar ASGI frameworks) for building RESTful APIs.

* Hands‑on experience with Wagtail CMS (or Django‑based CMS platforms) and extending its functionality.

* Strong front‑end development skills using React JS, HTML5, and CSS3.

* Solid understanding of object‑oriented programming, design patterns, and clean‑code principles.

* Experience with relational databases (e.g., PostgreSQL) and ORM tools such as Django ORM or SQLAlchemy.

* Ability to write comprehensive automated tests (pytest, unittest, Jest, etc.).

* Excellent problem‑solving abilities, attention to detail, and strong communication skills.

* Comfortable working both independently and as part of a collaborative, hybrid team.

Nice to Have

* Familiarity with additional front‑end frameworks or libraries (e.g., Redux, TypeScript).

* Experience with containerisation (Docker) and orchestration (Kubernetes).

* Knowledge of cloud platforms (AWS, Azure, GCP) and CI/CD pipelines.

* Exposure to Agile/Scrum development processes.

* Understanding of GraphQL or other modern API paradigms.

If this sounds like it might be of interest, please apply

AI, Automation & Emerging Technology
UK | Junior–Mid Level | 2+ Years Experience

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build (basic) timeboxed proofs of concept in Python and/or C#, and produce clear, decision-ready outputs.

This is not a BAU delivery role.
It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer (Who is an accomplished Software Engineer)

Salary: £40 - £50K Basic + Bonus + Benefits package

Location: North East office, but remote across the UK is totally fine.

What You’ll Bring

Essential

2+ years in a technical analyst, research, or solutions-focused role
Some Hands-on coding ability in Python and/or C# (You’ll learn software engineering from the senior R&D engineer, who’ll learn R&D from you!)
Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
Strong analytical thinking and structured evaluation skills
Excellent written communication — clear, concise, decision-ready outputs
Self-directed working style with confident stakeholder engagement
Familiarity with workflow orchestration / BPMN fundamentals

Desirable

Experience building AI-integrated applications
API and cloud platform exposure
Vendor/technology selection experience
Knowledge of process automation or orchestration platforms

Why Join

Direct exposure to cutting-edge AI and automation
Real influence over technology decisions
Clear progression into Senior R&D or specialist AI roles
Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise.

Apply now

We are seeking an experienced Principal Software Engineer to lead the development of advanced scientific instrumentation within a multidisciplinary R&D environment. This is a hands-on technical leadership role requiring deep expertise in software architecture, embedded systems, and a strong foundation in physics. You will translate physical principles and user requirements into robust, production-ready systems spanning firmware, hardware integration, and high-level applications. Key Responsibilities \* Lead architecture across embedded firmware (C/C++) and application software (C#/.NET). \* Provide technical leadership and mentorship to Software, Firmware, and Electronics Engineers. \* Develop physics-based algorithms for signal processing, instrument control, and data interpretation. \* Integrate software with complex opto-electronic and hardware systems. \* Define development standards, drive Agile practices, and implement CI/CD pipelines. \* Contribute to next-generation product innovation in thermal analysis and materials characterisation. Requirements \* Honours degree in Physics, Mathematics, or Engineering (with strong Physics basis). \* 10+ years’ commercial software development experience. \* Expert in C#/.NET; strong C/C++ for embedded systems. \* Experience with hardware communication protocols (I2C, SPI, USB, Ethernet). \* Proven leadership within multidisciplinary engineering teams. \* Background in scientific instrumentation, industrial automation, or similar hardware-integrated environments. Desirable \* Signal processing (FFT, digital filtering) or image processing \* MATLAB or Python for prototyping \* Cloud/IoT connectivity (Azure/AWS) \* Experience leading multi-discipline teams This is a high-impact role for a technically strong leader with a “first principles” mindset who can bridge physics and software to deliver innovative, market-leading products. Principal Software Engineer, Software Architecture, Embedded Systems, Firmware, C#, C/C++, Physics-Based Algorithms, Signal Processing, Opto-Electronics, Instrument Control, R&D, Multidisciplinary Team, Technical Leadership, Scientific Instrumentation, Industrial Automation, Hardware Integration, CI/CD, Agile, MATLAB, Python, IoT, Cloud Connectivity, Thermal Analysis, Materials Characterisation, Electronics Engineering, Mentorship, High-Level Applications, High Wycombe, Oxford, Swinton, Reading, Slough, London, VRS9380MP

Intern AI Developer (Part-Time)

Location: London

Salary: Competitive

Do you want to work in the Legal & Tax department of the largest sovereign wealth fund in the world?

Norges Bank Investment Management (NBIM) is looking for a talented student with a passion for coding and AI to join part-time our Capital Markets & Litigation team, part of Legal & Tax Department. This is an exciting opportunity for a student at any stage from second-year undergraduate through to PhD level, studying computer science, AI, machine learning, law, or a related field.

Legal & Tax is NBIM’s centralised legal function, with people based in London, Luxembourg, New York, and Oslo. We advise all of NBIM’s business areas on their legal and tax requirements across the investment portfolio both listed and unlisted assets.

The Capital Markets & Litigation team advises on capital markets transactions, financial regulation, and disputes. In this role, you will work closely with the team to develop AI-powered tools that improve how we work, with a particular focus on a regulatory horizon scanning tool to monitor global regulatory developments. You will also collaborate with NBIM’s Machine Learning & AI team, other legal teams, and colleagues in Risk and Compliance.

The position is based in London and will report to Leon Sosnowski, Head of Capital Markets & Litigation.

What you will do

• Application Development: Design and build AI-powered tools and applications to enhance the effectiveness of the Capital Markets & Litigation team.
• Regulatory Horizon Scanning: Lead the development of a tool to monitor, aggregate, and analyse global regulatory developments relevant to NBIM’s investment activities.
• AI Integration: Develop and implement AI-based solutions to optimise legal workflows and improve data analysis, leveraging models such as Claude, ChatGPT, and Gemini.
• Cross-Team Collaboration: Work alongside the Machine Learning & AI team and colleagues in Risk and Compliance to ensure tools are robust, scalable, and aligned with NBIM’s broader technology strategy.
• Technical Support: Help team members build confidence in using AI tools through informal knowledge sharing and practical guidance.

Who you are

• A student from second-year undergraduate to PhD level, in computer science, AI, machine learning, law, or a related discipline.
• Proficient in Python and comfortable working with data APIs; experience with front-end technologies or legal, regulatory, and/or news databases is a plus.
• Familiar with leading AI models and development environments, including Claude, ChatGPT, and Gemini.
• Some experience with cloud platforms (AWS or similar) is an advantage.
• Structured, self-driven, and proactive you take initiative and bring ideas to the table.
• A natural problem-solver who is energised by a challenge.
• Collaborative and collegial you enjoy working as part of a team as much as working independently.
• Fluent in written and spoken English.
• Entitled to work in the United Kingdom. Please note that NBIM is unable to provide visa sponsorship for this role.

Practical details

• This is a part-time position at %, meaning you will typically work two to three days per week. We offer flexible working arrangements so that the role fits around your studies.
• The placement will run initially until the end of 2026, with a tentative start date of early May. Extension beyond that period is possible by mutual agreement.
• The position is based at NBIM’s London office. Occasional travel to Oslo may be required.

What we offer
Norges Bank Investment Management offers a rewarding, international fast-paced working environment, and the opportunity to play a role in safeguarding and building financial wealth for future generations as part of one of the world s largest funds. Norges Bank Investment Management has a performance culture that values the contribution of every individual and focuses on professional growth.

To Apply

If you feel you are a suitable candidate and would like to work for Norges Bank Investment Management, please click apply to be redirected to our website to complete your application.

Applications close 22 March at 23:59 CET. We will begin the interview process after the application deadline.

Bristol

Are you interested in developing your career as a high speed Digital and Hardware Electronics Design Lead using state-of-the-art MPSoC FPGAs and AI acceleration hardware? If so, MBDA has an exceptional opportunity for the right individual to join our team with a long term view to establishing their career as a technical lead and expert in their field.

Salary: circa £58,000 to £65,000

Location: Stevenage or Bristol (we may be able to offer a relocation package for this role)

Dynamic (hybrid) working: 3-4 days per week on-site, due to workload classification. This could be less depending upon project requirements.

Security Clearance: British Citizen or a Dual UK national with British citizenship .

Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.

What we can offer you:
Long Term Career Path: Technical Lead, Specialist, Expert
Company Bonus:Bonus of up to 21% of base salary
Pension: Maximum total (employer and employee) contribution of up to 14%
Flexible working:We welcome applicants who are looking for flexible working arrangements
Enhanced parental leave:Offers up to 26 weeks for maternity, adoption and shared parental leave. Enhancements are available for paternity leave, neonatal leave and fertility testing and treatments.
Facilities: Fantastic site facilities including subsidised meals, gym, café and much more.The opportunity:

This is an exceptional opportunity for the right individual who wants to consolidate their experience and expertise in high-speed complex digital electronics design with an ambition to become a technical lead and establishing themselves as a technical lead and expert in their field.

As part of a large team of analogue and digital electronics design engineers, you will be responsible for the electronics design and development of high speed MPSoC FPGA and AI hardware solutions targeting SDR, radar signal processing and sensor fusion applications.

As Hardware Lead, you will support the Technical Lead/Architect in collaboration with the systems, software, firmware, mechanical and production teams to specify elegant and optimised solutions that satisfy customer needs. Once the specification has been agreed, you will be responsible for the detailed design of the high speed digital aspects as well as leading all the other electronics design activity through the full product development lifecycle.

What we’re looking for from you:
Solid experience in complex, high speed digital electronics design.
Experience in MPSoC FGPA, DDR and Flash memory and high speed serial interconnect design
Experience in SI and PI Analysis
Proficiency in VHDL to support board level test and debug
Proficiency in C, C++, or Python to support board level test and debug
Familiarity with DSP concepts for SDR, radar signal processing and optical sensors
Ability to develop elegant hardware architectures through detailed understanding and collaboration with systems, software, firmware, mechanical and production teams
Strong academic background to support this intellectually demanding role
Strong desire to drive collaboration and ensure successful delivery.
Excellent ability to configure and document designs to a high professional standard.Please note:Some of our roles require an elevated level of security clearance. Candidates may be required to undertake DV (Developed Vetting) in order to successfully deliver the role.

Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given

MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.

We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more…

We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.

Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

#LI-SD1

Senior Full Stack Architect

Permanent | UK-Wide | Hybrid (2–3 Days in Office) | £60,000+

The Opportunity

A leading technology organisation is seeking a Senior Full Stack Architect to own end-to-end technical architecture across a multi-year digital transformation programme. This is a hands-on leadership role where you will define architecture standards, drive engineering excellence and align technology decisions with business goals. You will lead architectural reviews, mentor engineering teams and play a central role in shaping a scalable, secure and cloud-native platform.

What You’ll Be Doing

* Own end-to-end architecture across frontend, backend, APIs, data layers and integrations

* Define reference architectures, technology standards and design principles

* Lead architectural reviews and contribute to technology governance frameworks

* Design cloud-native solutions using Docker, Kubernetes and CI/CD pipelines

* Champion engineering best practices — GitOps, automated testing and observability

* Coach engineering teams and identify anti-patterns across the stack

* Manage senior stakeholder relationships and communicate architectural decisions clearly

Skills & Experience

* Proven background in senior architecture or technical leadership

* Frontend: React, TypeScript, Material UI, modern JavaScript (ES6+)

* Backend: Node.js, Python, RESTful APIs, GraphQL, Kafka or RabbitMQ

* Cloud: AWS, Azure or GCP — Kubernetes, Docker, Terraform / CloudFormation

* Databases: PostgreSQL, MongoDB, Redis — strong data modelling and caching strategies

* Secure architecture: OAuth, JWT, SAML; monitoring via Datadog, Prometheus or Grafana

* Strong Agile delivery experience (SCRUM / Kanban) in complex or regulated environments

* Excellent communication and stakeholder management skills

Nice to Have

* Cloud architecture certification — AWS Solutions Architect or Azure equivalent

* Experience in financial services or other regulated industries

* Familiarity with service mesh architectures such as Istio

Right to Work

Candidates must have the right to work in the UK under one of the following:

* British Citizen

* Indefinite Leave to Remain (ILR)

* EU Settled Status

* Dependent of ILR / British Citizen, or of someone due ILR within 6–8 months

We are unable to consider candidates requiring Tier 2 sponsorship, PSW visa holders, dependents of work permit holders, or former permanent employees of the end client

We are seeking an experienced FPGA Engineer to join a collaborative engineering team developing advanced electronic systems used in high-performance, security-focused environments.

This role offers the opportunity to work on technically challenging programmes where FPGAs play a central role, supporting applications such as high-speed data processing, complex algorithm implementation, embedded security functions, system-level integration within modern hardware platforms.

You will work alongside engineers across firmware, software, systems, and hardware disciplines, contributing to innovative solutions in a structured, quality-driven development environment.

The team operates using modern development practices, including advanced toolchains and Continuous Integration workflows.

Key Responsibilities

Design and develop FPGA solutions using VHDL
Deliver efficient implementations with strong focus on timing closure and device optimisation
Target AMD FPGA and SoC devices, including use of the AXI protocol
Perform simulation using Siemens QuestaSim
Apply modern verification approaches (e.g. OSVVM, CoCoTB)
Use AMD toolchains (ISE and Vivado)
Develop and maintain scripted build processes using TCL and/or Python
Work within Git-based version control systems
Support Continuous Integration environments (e.g. GitLab, Docker)
Produce clear technical documentation
Contribute to process improvement and engineering best practice
What We’re Looking For

Strong background in FPGA design using VHDL
Experience with AMD FPGA/SoC platforms
Solid understanding of FPGA architecture, optimisation techniques, and timing analysis
Experience with simulation and verification methodologies
Familiarity with automated build and CI workflows
Good documentation and communication skills
A proactive, adaptable approach with the ability to work independently and collaboratively
Development & Environment

You will join an established firmware community with a strong emphasis on:

Technical mentoring
Knowledge sharing
Continuous professional development
Toolchain and workflow modernisation
Collaborative problem-solvingComprehensive training and close technical leadership will be provided to support your growth and mastery of internal development processes.

Benefits

Competitive salary with sign-on bonus.
Flexible or part-time working arrangements on request.
Relocation support available.
Half-day finish on Fridays.
25 days holiday (plus bank holidays), increasing with service, with option to buy/sell.
Private medical insurance (optional family cover).
Life assurance and group income protection.
Flexible extras including healthcare cash plan, dental insurance, gym membership, cycle-to-work scheme, and electric vehicle scheme.
Employee assistance program for mental health and wellbeing support.
Eligibility

Due to the nature of the programmes involved, candidates must:

Hold the right to work in the UK (Sole British citizenship)
Be eligible to obtain the required security clearance

TT

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: Remote or North East. Hybrid office work / flexible / remote. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll Do

Research & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight — not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication — clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.

Company description

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, youll discover the real differentiator is our culture. We push the limits of innovation to solve the worlds most important challengesstriving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

Job description

AMD is looking for a talented individual to join the Network Technology Solutions Group in the Data Center Solutions Group as Principal Design Verification Engineer in our Edinburgh office. This team develops RTL blocks and subsystems for the AMD Pensando AI NIC product line, allowing GPU clusters to be built to support AI training and inference workloads at scale.

KEY RESPONSIBILITIES:

As a Principal Design Verification Engineer, you will lead the verification efforts to functionally verify complex RTL blocks destined for the next generation of Data Center networking ASICs.

Required profile

ABOUT YOU:

• Experience of working as a technical lead in a verification team
• Proven track record in simulation-based verification for ASIC or FPGA blocks and subsystems.
• Strong experience in UVM-based verification in SystemVerilog, with a deep understanding of the framework.
• Experience of verification coverage closure in an ASIC or FPGA project.
• Strong problem-solving skills.
• Experience of Synopsys functional verification tools would be an advantage.
• Experience of full chip verification would be an advantage.
• Experience of formal verification would be an advantage.
• Knowledge of AI-based debug techniques would be an advantage.
• Knowledge of Python would be an advantage.
• Experience in C/C++ would be an advantage.
• RTL design experience would be an advantage.
• Experience in networking technologies and products would be an advantage.

ACADEMIC CREDENTIALS:

Minimum of a Degree/Masters in Electronic Engineering, Computer Science or a related subject.

What we offer

.

Senior Security Engineer/Architect - Perm - Up to £110,000 + benefits

Must already hold or be eligible for SC level security clearance

Remote first or Hybrid - London based office

An established organisation is seeking a Senior Security Engineer to help shape and enhance the security posture of the environments it supports. This role operates at the intersection of deep technical expertise, advisory ownership, and real-world security impact.

The successful candidate will work closely with customers, engineers, and operational security teams to deliver meaningful improvements across identity, detection engineering, endpoint security, and cloud security posture. This is a hands-on role involving the design and implementation of modern security architectures, solving complex technical challenges, and acting as a trusted technical partner.

Technology Environment

Microsoft Security Stack:

• Microsoft Defender XDR
• Microsoft Sentinel
• Microsoft Entra ID
• Microsoft Intune
• Microsoft Defender for Cloud

Experience with alternative modern security platforms such as SentinelOne or CrowdStrike is advantageous.

Cloud Platforms:

• Microsoft Azure (required)
• Exposure to AWS or GCP (desirable)

Platforms & Infrastructure:

• Active Directory / Entra hybrid identity
• Windows Server and Linux
• Networking, VPNs, firewalls, endpoint management

Tooling & Automation:

• KQL
• PowerShell
• API integrations
• Automation tooling

Key Responsibilities

Technical Delivery

• Lead technical discussions with customers, guiding architecture, design decisions, and best practice implementations.
• Own the end-to-end delivery of security solutions.
• Design and implement detections, automation workflows, and runbooks.
• Conduct technical assessments across identity, endpoint, cloud posture, logging, and security operations.
• Develop, optimise, and tune KQL queries for detection engineering and threat hunting.
• Review and enhance security configurations across cloud and SIEM/SOAR platforms.
• Manage engagements through architecture, deployment, tuning, documentation, and customer enablement.
• Identify security gaps and recommend improvements across logging, identity, endpoint hardening, cloud posture, and threat detection.

Platform & Engineering

• Understand how endpoints, servers, domain controllers, and cloud workloads operate, and how security controls integrate with them.
• Support remediation of misconfigurations and optimisation of security deployments.
• Leverage scripting, APIs, and automation to streamline repeatable tasks.
• Integrate firewalls, EDR platforms, logging pipelines, and SIEM/SOAR tooling.

Customer & Collaboration

• Act as a trusted technical advisor to security and engineering stakeholders.
• Communicate complex technical concepts clearly to both technical and non-technical audiences.
• Translate customer requirements into actionable technical plans and deliverables.
• Collaborate with internal engineering, SOC, and platform teams to improve processes and share insights.
• Contribute to knowledge articles, design documentation, runbooks, and reusable delivery patterns.

Required Experience

• Strong, demonstrable experience across the Microsoft security ecosystem.
• Solid understanding of identity and endpoint security fundamentals.
• Proven experience writing and tuning detection logic (e.g., KQL) for detection engineering and threat hunting scenarios.
• Excellent communication and customer-facing skills, with the ability to lead discussions and influence outcomes.
• Ability to work autonomously, solve complex problems, and deliver high-quality technical solutions.

Desirable Experience

• Automation experience (PowerShell, Python, API integrations) and/or systems administration background.
• Familiarity with security frameworks and incident response methodologies.
• Experience working with logging pipelines (e.g., AMA, Syslog, Cribl, SIEM tooling).
• Exposure to non-Microsoft security platforms such as CrowdStrike, SentinelOne, or Tenable.
• Experience producing architecture documents, diagrams, and technical design proposals.
• Background in an MSSP, consultancy, or customer-facing engineering environment.

What the Role Offers

• Ownership of technical direction across engagements with the ability to influence customer security posture.
• A blend of architecture, engineering, advisory, and hands-on implementation work.
• Exposure to a diverse range of environments, threat models, and operational challenges.

Job title: Event Management Engineer

Location: Corsham
Duration: 6 months
Rate: £430 per day inside ir35

SC security clearance is required for this role

The Role

Supporting a key programme within the UK defence environment, we’re looking for a Monitoring / Event Management Engineer with strong Splunk and enterprise tooling experience to join the Hosting & Tooling team onsite at MOD Corsham.

You’ll play a key role in monitoring platform management, event correlation, and operational tooling, working closely with engineers, analysts, and client teams to maintain and improve monitoring capabilities across critical services.

Key responsibilities include:

• Managing and optimising Splunk and enterprise monitoring tools
  * Creating and maintaining event management policies and monitoring rules
  * Developing Splunk queries (SPL), dashboards, and alerting logic
  * Supporting tooling platforms such as BMC TrueSight, BMC Discovery, and Netcool
  * Deploying and managing monitoring agents
  * Producing technical documentation and architecture diagrams
  * Supporting both operational (RUN) activities and project delivery
  * Working directly with client teams to support monitoring requirements
  * Building automation scripts and integrations (Python / PowerShell / APIs)

Required Experience:

• Strong Splunk experience (SPL, dashboards, rules)
  * Experience with enterprise monitoring platforms (BMC, Netcool, SolarWinds, Zabbix, Nagios etc.)
  * Knowledge of event management and observability tooling
  * Experience working across Windows, Linux, or AIX environments
  * Scripting with Python or PowerShell
  * Understanding of networking concepts and SNMP
  * Experience building automation and integrations via REST APIs

If you are interested in this role, please feel free to submit your CV.

If you are interested in this role, please feel free to submit your CV.

About the Role

As a Server Engineer the primary focus of this role will be to provide 3rd line operational support within our IT - Platforms Infrastructure Team. You will manage and maintain the day-to-day operations of backend IT systems, as well as implementing new technologies and systems. You will work in a dynamic environment, handling both Business as Usual ( BAU ) and project-based tasks.

This role reports to the Infrastructure Team Leader. Hours of work are 9:00 am - 5:30 pm, Monday to Friday, with requirements to work the On Call rota on a rotating basis. Additional overtime outside core hours and at weekends for system maintenance and other out of hours work will be required.

Main Responsibilities:

• Monitor, manage, and proactively optimise all servers and infrastructure applications to ensure top-tier performance and availability.
• Oversee and support VMware infrastructure, ensuring seamless operation and efficiency.
• Ensure the effective management and maintenance of SAN infrastructure to ensure reliable and effective data storage solutions.
• Provide expert support for cloud-based solutions, ensuring smooth and efficient integration as well as effective support.
• Develop and implement automation scripts and tools, taking part in automation initiatives to enhance server management and streamline maintenance tasks.
• Create, update, and review infrastructure documentation in accordance with Ashurst standards, ensuring clarity and precision.
• Adhere strictly to IT processes and procedures, especially regarding Change Control, Privileged Access Management, and system security, ensuring full compliance with regulatory requirements and internal policies.
• Resolve all logged incidents and service requests promptly, and support major incident activities, as well as problem, change, and configuration management processes.
• Collaborate with the Service Delivery team to manage escalations and resolve tickets effectively, ensuring high-quality service delivery.
• Participate in operational rotas to maintain environmental stability and proactively identify and address potential issues.
• Engage with vendors to provide support and guidance, enhancing service delivery and resolving technical challenges.
• Work closely with the global IT - Platforms Infrastructure Team to deliver seamless support across different regions and time zones to our user community.

Skills and experience

• Extensive experience with Microsoft Back Office products
• Proficiency in Microsoft Active Directory 2016 and newer as well as familiarity with Entra ID.
• Experience with Windows Server versions 2016 - 2022
• Knowledge of Microsoft clustering technology
• Scripting skills with a focus on automating and streamlining server management processes. (Powershell, Working with APIs, etc)
• Expertise in virtualisation technologies, particularly VMware •Experience with SAN Storage solutions. (DellEMC, HPE, vSAN)
• Azure and M365 experience, particularly with EntraID and cloud adoption.
• Experience with configuring, supporting and optimising ADFS and SSO technologies as well as migration to Entra ID.
• Understanding of network fundamentals and protocols
• Excellent communication and collaboration skills within a cross-functional team.
• Experience working in agile environments
• Familiarity with ITIL principles and frameworks, experience with best practice adherence.
• Experience working within security best practices and compliance requirements
• Experience working within strict change control processes

Desirable skills and experience

• Experience with automated deployment tools (e.g., SCCM, Intune)
• Experience with scripting and automation tools beyond PowerShell (e.g., Python, IaC )
• Experience with monitoring and performance tuning tools (e.g., PRTG , SolarWinds)
• Knowledge of IT governance and compliance frameworks (e.g., GDPR, Cyber Essentials)
• Familiarity with incident response and disaster recovery planning Understanding of vulnerability management with experience in remediation and risk management

Software Engineer

Bridgend - (hybrid working once fully trained in role)

£33,000 - £38,000

Were working with a manufacturing organisation looking to add a Software Engineer to their Engineering team.

This is an opportunity to play a key role in advancing manufacturing technology through software development, data systems, and production-level innovation.

The Opportunity

Youll support and develop manufacturing IT systems that power cutting-edge production environments. Working within a collaborative engineering function, you will contribute to system reliability, data optimisation, and the integration of new technologies into live operational settings.

Key responsibilities include:

• Maintaining and enhancing manufacturing IT systems to ensure performance and reliability
• Taking ownership of production-level systems, including deployment, monitoring, and ongoing support
• Designing and integrating new software solutions to support manufacturing operations
• Developing and optimising applications for data collection, analysis, and visualisation
• Collaborating closely with engineering and production teams to deliver effective technical solutions
• Identifying and implementing system improvements within live environments

What Were Looking For

Essential:

• Degree in Engineering, Computer Science, or a related discipline
• Strong programming skills in C++
• Experience working with S3 binary object storage
• Strong communication skills and ability to collaborate cross-functionally
• Ability to take ownership from concept through to delivery
• Proactive, self-motivated and passionate about continuous learning

Desirable:

• Experience with embedded systems (e.g. Arduino, Raspberry Pi)
• Linux experience (ideally Debian-based environments)
• Python programming skills
• GitLab/GitHub experience
• Experience with JSON document databases (e.g. MongoDB, Couchbase)

If youre a software engineer who enjoys applying technical expertise in real-world manufacturing environments, this could be a fantastic next step.

Are you ready to take your career to the next level with an exciting opportunity in the manufacturing industry? This is your chance to join a forward-thinking company that is shaping the future of smart manufacturing and Industry 4.0. As an IoT Developer - Manufacturing Systems, you will play a pivotal role in transforming the way manufacturing operates, driving innovation and operational excellence. With cutting-edge projects, a dynamic work environment, and the opportunity to make a real impact, this role offers the perfect blend of challenge and reward. What You Will Do: - Connect shop floor equipment, including assembly cells, robots, CNC machines, and die-casting equipment, to publish data to an MQTT broker. - Implement Condition-Based Monitoring systems and contribute to energy management and sustainability initiatives. - Develop and configure Grafana dashboards to visualise data effectively. - Prepare build documentation for Single Board Computers using Docker. - Troubleshoot issues by performing root cause analysis and continuously improve operational processes. - Collaborate with project managers and senior leadership to drive projects forward. What You Will Bring: - A Bachelor's degree in Computer Science, Controls Engineering, or a related field. - Technical expertise in programming languages such as Python, JavaScript, and IEC 61131-3, as well as IoT application protocols like MQTT and OPC UA. - Knowledge of smart manufacturing concepts, SCADA systems, and predictive maintenance. - Experience with edge computing devices, databases, and cybersecurity basics. - A proactive mindset, strong interpersonal skills, and the ability to work collaboratively in a fast-paced environment. As an IoT Developer - Manufacturing Systems, your work will be instrumental in driving innovation and operational excellence. This company is committed to developing fully connected manufacturing systems, enabling smarter, more efficient processes that align with sustainability goals. By joining this team, you will contribute to a culture of continuous improvement and cutting-edge advancements in the manufacturing industry. Location: This role is based in Telford, offering you the opportunity to work in a vibrant and growing manufacturing hub. Interested?: If you're ready to embrace this exciting challenge and make your mark as an IoT Developer - Manufacturing Systems, apply today! Don't miss the chance to be part of a company that's leading the way in smart manufacturing innovation. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.

Job Title: Senior DSP Algorithm Engineer
Location: Fareham, Hampshire
Salary: £75,000 to £90,000 basic + 15% bonus + benefits
Visa Sponsorship is available
Hybrid working options

Cutting-Edge R&D Advanced DSP Design Human Machine Interface Technology
Are you a hands-on engineer with deep expertise in Digital Signal Processing (DSP) and high-level system modelling? Do you want to work on next-generation Human Machine Interface (HMI) technology that will shape the future of user interaction?
If you thrive at the intersection of modelling, system analysis, and real-world hardware experimentation, this role is made for you.
Our client is a global technology leader developing state-of-the-art mixed-signal and HMI systems. They are now seeking an experienced Senior DSP Algorithm Engineer to join their advanced R&D team in Hampshire.

Why this role is different - Senior DSP Algorithm Engineer
This position isn t just about using DSP, it s about truly understanding it. You ll be developing, analysing, and validating systems that rely on DSP design principles, signal acquisition, mixed-signal modelling, and algorithm development. Your work will directly influence next-generation touch and sensing technologies.

Key Responsibilities: Senior DSP Algorithm Engineer
As a Senior DSP Algorithm Engineer, you will:

• Lead modelling, simulation, and analysis of complex mixed-signal front-end systems
• Capture and process real-time sensor data using both analogue and digital signal processing
• Support the implementation, integration, and validation of innovative algorithms
• Develop new touch detection schemes and evolve existing DSP algorithms
• Collaborate closely with IC design, firmware, system architecture, and validation teams to ensure seamless modelling-to-hardware correlation
• Define research objectives and problem statements with internal stakeholders
• Take full ownership of experiments from concept and simulation to hardware validation

What You ll Bring to the Senior DSP Algorithm Engineer role.

To excel in this role, you must have:

Essential Skills & Experience

• Deep, hands-on knowledge of DSP design, modelling, and algorithm development
• (Not just DSP usage, an ability to understand how and why it works)
• Proven experience in high-level modelling and simulation of complex systems
• Strong understanding of mixed-signal systems, ASIC design concepts, and analysis tools
• Proficiency with MATLAB, Simulink and/or Python (two or more required)
• Experience using version control systems like Git or Subversion
• Knowledge of Agile development workflows
• Proactive, curious mindset with strong collaboration skills
• Willingness to travel for research and project collaboration

Education

• MSc or PhD in Electronics Engineering, Signal Processing, or a closely related field
• BEng or MEng (Upper Second Class or equivalent) in a relevant engineering discipline
• 5+ years post-graduate engineering experience

Desirable skills/experience for the Senior DSP Algorithm Engineer role

• SPICE, HDL, Verilog, FPGA knowledge
• Experience with physics-based modelling tools (e.g., Ansys, HFSS)
• Background in HMI, sensing, or display technologies

Why Apply?

• Work on cutting-edge HMI and sensing technology
• Be part of an R&D team pushing innovation in mixed-signal and DSP systems
• Solve complex real-world engineering problems
• Excellent long-term career growth within a global tech organisation
• Visa Sponsorship is available
• Hybrid working

If you are passionate about DSP at a fundamental level and want to drive real innovation in advanced sensing technology, we d love to hear from you.

If you have any specific questions about this Senior DSP Algorithm Engineer role in Hampshire, please call Lewis on (phone number removed). To apply email (url removed)

Job Title: Embedded Software Engineer
Location: Leicestershire (hybrid 3 days per week onsite)
Salary: Up to £65k (depending on experience)

We re looking for a talented Embedded Software Engineer to join a cutting-edge technology company developing next-generation IoT solutions. This is a hands-on role focused on designing, developing, and testing software for embedded systems. If you re an experienced Embedded Software Engineer looking to work on next generation technology, we want to hear from you!

About the Role:

• Develop low-level embedded software, including device drivers, and RTOS/kernel components.
• Integrate secure IoT communication protocols (e.g., MQTT, BLE).
• Build automated test frameworks, run HIL testing, and support prototype validation.
• Collaborate closely with hardware teams and maintain technical documentation.
• Participate in CI/CD pipelines for automated testing and software delivery.

About you:

• Bachelor s or master s degree in computer science, Electrical Engineering, or related field.
• Strong experience in C/C++, Linux, and Python - scripting (Shell/Bash) a plus.
• Embedded systems experience with microcontrollers (ARM Cortex, STM32, ESP32).
• Knowledge of low-power design, IoT protocols, and secure data transmission.
• Familiarity with automated testing frameworks (Pytest, Unity, Robot Framework) and debugging tools (JTAG, GDB, oscilloscopes).
• Experience with version control (Git) and CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps).

Desirable skills:

• Yocto, OTA updates, bootloader development, SPI/I2C/UART/GPIO, wireless protocols (Wi-Fi, Bluetooth, Zigbee, LoRa), TDD/BDD practices, hardware simulation/testing.

Please note, we cannot offer sponsorship for this role.
If interested, please send over an updates CV.

Job Title: Platform Operations Engineer
Department: AI Lab - Platform Operations Team
Location: Remote
Employment Type: Full-time, Permanent

Overview
We are actively looking to secure multiple Platform Operations Engineers to join Experis, part of the ManpowerGroup - a global organisation with over $20?billion in annual revenue and more than 1,000 consultants on assignment across 20 clients worldwide.
Experis UK is in an exciting growth phase, with ambitious expansion plans and deep partnerships across multiple industries. Our model is personal and career-focused: we invest in our consultants through continuous training, technology exposure, and collaborative development.

About the Role
IBM’s AI Lab is building next-generation AI platforms and services. To support this mission, we’re growing our Platform Operations Team, responsible for the cloud infrastructure that powers our AI services. As a Platform Operations Engineer, you’ll work across AWS, Kubernetes, and internal automation tools to ensure the platform runs smoothly, securely, and efficiently.
This role suits someone who enjoys working at the intersection of software development and operations - writing code, automating infrastructure, and supporting high-performance machine learning environments.

Key Responsibilities

• Deploy, manage, and monitor applications on AWS EKS (Kubernetes)
• Build and maintain Helm charts, manifests, and ArgoCD configurations
• Contribute Python code for internal tooling, automation, and services
• Manage CI/CD pipelines (e.g. Concourse, GitLab CI)
• Troubleshoot issues in networking, permissions, and application performance
• Work with development teams to streamline deployment and scaling of AI systems
• Maintain secure cloud environments through thoughtful IAM and Terraform configurations

Essential Skills and Experience

• Strong hands-on experience with Kubernetes (deployment, debugging, Helm)
• Intermediate to advanced Python development skills
• Familiarity with CI/CD pipelines, especially writing and debugging them
• Solid understanding of AWS services (EKS, IAM, S3)
• Confident with Linux-based environments and containerization (Docker)

Ideal (Bonus) Skills

• Experience with Helm, ArgoCD, and GitOps workflows
• Practical knowledge of Terraform for infrastructure-as-code
• Understanding of Kubernetes networking, ingress management, and certificate handling
• Exposure to OAuth/OpenID, certificates, and authentication proxies

A leading UK financial services organisation is looking for a Cloud Platform DevOps Engineer specialising in Google Cloud Platform networking to join a highly skilled engineering team working on a large-scale cloud transformation programme.

You’ll play a key role in building and maintaining secure, automated cloud networking infrastructure that enables development teams to deliver modern, scalable applications.

Key Responsibilities

• Design and manage enterprise-scale GCP networking infrastructure
• Build and maintain Infrastructure as Code using Terraform
• Support secure, reliable networking across cloud and hybrid environments
• Troubleshoot complex networking issues and improve platform reliability
• Collaborate with engineers and architects to deliver scalable solutions

Key Skills

• Strong hands-on experience with GCP networking (VPC, Load Balancers, DNS, Firewalls, Cloud Interconnect, VPC Peering)
• Terraform / Infrastructure as Code
• DevOps tooling such as Git, GitHub or Terraform Cloud
• Experience working in enterprise cloud environments

Desirable

• Hybrid cloud networking experience
• Python or Bash automation
• Monitoring tools such as Google Cloud Monitoring or Dynatrace
• GCP certifications

For this role, you’ll receive a very competitive benefits package including non-contributory pension, discretionery bonus and a comprehensive holiday package. The role requires 2 days onsite a week and can be based from Edinburgh, Leeds, Manchester, Bristol or Halifax.

This is an excellent opportunity to join a major cloud engineering programme and help shape the next generation of cloud infrastructure.

A great energy client based in London is looking for a Full Stack Python Engineer.

Fantastic benefits, bonus, training, events, cycling scheme, pension, free breakfast and much more!

If you’re looking for a genuinely exceptional tech environment in London, this is it.

The team is highly collaborative, technically strong, and incredibly supportive - a group of talented professionals who genuinely enjoy working together.

• Key Responsibilities
• Design, develop, and maintain scalable and reliable software solutions, ensuring alignment with Principals and Architects.
• You must have at least 4 years Python experience
• Experience with Typescript and a years Javascript

Key Requirements

• Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP.
• Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures.
• Bachelor’s or Master’s degree in Computer Science, Engineering or equivalent experience.
• Experience with CI/CD tools and practices.
• Strong problem-solving & communication skills.
• Adaptability/willingness to learn (e.g., Agile).
• Technical leadership (mentoring, best-practice guidance).

Desirable:

• Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery).
• Experience with database schema design and query optimisation.
• Collaborate with cross-functional teams, including Product, QA, and DevOps, to deliver high-quality features.
• Lead code reviews and technical discussions, and contribute to architectural decisions.
• Lead complex coding tasks; ensure code quality.
• Identify and resolve performance and scalability issues.
• Write clean, maintainable, and well-documented code.
• Mentor and support junior and mid-level engineers.
• Stay current with emerging technologies and industry trends.
• Estimate work; lead delivery of features from the roadmap.
• Solve ambiguous problems with scalable solutions.

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist