We are looking for an Infrastructure Software Engineer to help keep our clients' systems reliable, secure, and scalable. This is a hands-on role working across a broad stack - from Linux servers and networking to containers and big data platforms - with a strong focus on automation and problem-solving. The successful candidate must have strong on-prem experience and will ideally have a good mix of infrastructure and programming knowledge. This is a hybrid role with the expectation to be in the office 2 days a week. As well a competitive salary, out client offers a comprehensive benefits package which includes a bonus scheme. Key Responsibilities Automate and optimise DevOps workflows Monitor system health and respond to incidents Troubleshoot infrastructure issues and perform root cause analysis Identify and remediate security vulnerabilities Support developers with deployments and improve developer experience Maintain documentation (runbooks, processes, architecture) Skills Experience with Linux systems administration Shell scripting and strong coding ability Problem-solving through automation Ability to prioritise and work independently Strong communication and teamwork skills Desirable Knowledge of networking (TCP/IP) and full-stack infrastructure Experience with Git, Python, and Ansible Familiarity with containers (Docker, Kubernetes, LXC) Experience with monitoring tools and SQL databases Exposure to big data systems (e.g., Spark, HDFS, Airflow) Summary A great opportunity for someone who enjoys solving complex infrastructure challenges, automating systems, and working closely with engineering teams. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. TPBN1\_UKTJ

Burbage area We are working with an innovative engineering organisation developing advanced Aerospace technologies. They are now looking to hire an experienced Software Engineer to support the design and delivery of mission-critical software and firmware solutions. This role sits within a multidisciplinary engineering team and covers the full software lifecycle from design and development through testing, integration and deployment. Youll also contribute to system-level integration within complex avionics architectures. ---------------------------------------- The Role of the Software Engineer Youll be responsible for developing robust, high-quality software for flight-critical systems, while working closely with electronics, systems and product teams. Key responsibilities include: Designing, developing and maintaining embedded software and firmware Translating technical and system requirements into scalable, secure solutions Supporting integration, testing and troubleshooting of software within full system architectures Conducting code reviews and maintaining high engineering standards Producing clear technical documentation (designs, specifications, user guides) Investigating and resolving complex software issues Supporting regulatory and safety-critical development activities (DO-178B/C) Sharing knowledge, mentoring others and contributing to continuous improvement ---------------------------------------- Essential Requirements We are looking for someone who has: Solid programming skills in C and Python (MATLAB beneficial) Experience in aerospace, defence or safety-critical environments Experience working with real-time or embedded operating systems Confidence working on Linux / UNIX-based environments Experience debugging embedded systems (software and hardware interaction) Familiarity with common communication protocols (e.g. CAN, SPI, I2C, serial) Experience using version control tools such as Git A relevant engineering qualification or equivalent commercial experience ---------------------------------------- Whats On Offer Opportunity to work on avionics technology High technical autonomy and responsibility Collaborative, engineering-led environment Competitive salary and benefits package 'Apply Now' or reach out to Ellie at Orion for further details! INDKA TPBN1\_UKTJ

Lead Software Engineer is required by this B2B Fintech business as they look to improve their product platform offering and build on their client success. You’ll be expected to take more technical leadership than managerial responsibilities, promoting better engineering practice, driving technology improvements and leading from a strong hands-on perspective.

This is a web-based reporting platform written in Python and Django, and your decisions around the technical direction will be critical in the future success of the business and how they continue to deliver to their clients. If the opportunity to take responsibility for new projects, from research through to deployment, excites you then this could be a great role to explore.

You’ll be working on the improvement of their platform, leading feature development, liaising with stakeholders and Product teams internally, working through the entire life cycle. Designing and implementing new software solutions, providing technical guidance to a small team, ideally offering experience across.

• Solid Python web development in a B2B product setting
• Django
• FastAPI/Flask beneficial
• AWS
• Agile

Please note, this role requires Full time attendance in their central London office - please only apply if that is something you are comfortable with. Please contact me for a detailed spec and conversation about how you can progress your career here, and the benefits of working with the organisation as they grow.

If you are a current Jazz employee please apply via the Internal Career site.

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information.

Essential Functions •

Support the development and implementation of AI/ML/GenAI solutions to optimize clinical

trial operations, including such areas as patient recruitment, patient retention, real

time data

monitoring and automated data collection system build. •

Support the development and implementation GenAI applications for automated clinical trial

documentation generation including such areas

medical reports, clinical study reports,

protocols and patient narratives. •

Support the development and implementation of Digital Healthcare applications for medical

and scientific tools, RWE new ways of generating real data, patients’ engagement. •

Support the design and develop predictive models and generative AI solutions using diverse

healthcare data sources, including clinical trials data, electronic health records, wearable

devices, patient

reported outcomes, HEOR data, phase IV studies. •

Ensuring compliance with regulatory requirements and data privacy standards.

Required Knowledge, Skills and Abilities •

Strong programming skills in Python, R, or similar languages, with experience in modern ML

frameworks (PyTorch, TensorFlow). •

Demonstrated

experience with generative AI technologies, including LLM architectures and

frameworks. •

Knowledge/experience with digital healthcare tools design and development •

Experience with natural language processing and generative AI for medical text analysis,

generation, and interpretation. •

Demonstrated ability to build relationships with stakeholders and subject matter experts. •Familiarity with high compute cloud-based platforms and services, in particular AWS. •Familiarity with code version control and MLOps deployment approaches.

Required/Preferred Education and Licenses •Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field •3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. •Experience in healthcare/AI implementation in healthcare field is a plus. •Knowledge of digital healthcare tools design and development

#LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here:

.

C++, Market Connectivity, SOR, Low Latency, Systematic Trading McGregor Boyall are partnered with a leading systematic trading fund operating within the London market. This tech-driven investment manager uses highly algorithmic strategies to generate returns and is currently expanding after a strong 2025. The successful applicant will be a key member of the global Market Connectivity team, building and enhancing market access systems, for all spectrums of the trading business. The role will cover design, development, validation, deployment, and production support of trading gateways and market data handlers to global exchanges and brokers There are two hires here so we can consider candidates at either mid-level (2-10 years) or senior hires. You will receive a guaranteed bonus in your 1st year and financial packages have a high degree of flexibility for the right person (total comp can exceed £350k). This role requires candidates based in London. Required skills: - Excellent C++ programming ability. You will be using modern versions (20+) in a latency-critical environment hosted on Linux - Prior smart order routing/market connectivity experience essential. We are looking for people currently working in this space at a top investment bank, prop trader or hedge fund - Current experience working on mulithreaded, distributed systems Nice to have: - Masters degree in relevant field - Python Scripting - FIX - Exchange trading gateways or market data feed handlers McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

The Role

This Research Engineer role sits within The Alan Turing Institute s Defence and National Security programme and focuses on designing, building and evaluating LLM-driven agentic systems to strengthen the cyber resilience of critical national infrastructure, particularly legacy operational technology and industrial control systems that cannot easily be patched or upgraded. The postholder will develop autonomous hardening and monitoring capabilities, create realistic digital twin and simulation environments, run robust large-scale evaluations, and produce high-quality research software, technical outputs, and publications, while working closely with multidisciplinary experts across AI, cyber security and critical systems. It s a highly applied research role suited to someone excited by combining machine learning, software engineering and cyber security to solve complex real-world resilience challenges with national importance.

Your Profile

We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will bring hands-on experience building LLM-powered agentic or tool-calling systems, strong scientific software development skills in Python and related frameworks and a track record of delivering practical research or engineering outputs with measurable impact. They ll be comfortable working across disciplines, communicating complex ideas clearly to both technical and non-technical audiences and operating with a high degree of autonomy while contributing positively to a team environment. Experience with network security, cyber-physical systems, virtualisation, OT/ICS environments and research publications would be especially valuable, as would a thoughtful, evidence-led approach and eligibility for Security Check clearance.

How You Will Make an Impact

• Collaboratively design, build and maintain agentic, AI systems and evaluation suites that support CNI cyber resilience and legacy software hardening against known vulnerabilities.
• Develop virtualisation based digital twin environments and implement techniques for assuring operational continuity in the context of CNI.
• Develop realistic virtualised environments with legacy OT/ICS hosts, including legacy operating system instances running OT/ICS control software and with representative OT protocol traffic.
• Contribute to high-quality collaborative research as part of the Turing s CNI resilience mission.
• Develop CNI-relevant scenarios with clear threat models, operational continuity criteria, and defensible assumptions; document limitations and known failure modes explicitly.
• Implement reproducible evaluation pipelines: configuration-driven runs, dataset/version management, baseline implementations and auditable reporting outputs.
• Develop and validate metrics and scoring methods.
• Carry out analysis that supports credible interpretation of results (failure case analysis, ablations and sensitivity checks).

Application Procedure

If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter.

Your covering letter should focus on the following:

• Your motivation for applying for this role
• An overview of your experience developing software in a scientific computing context
• Publication list (if not covered in CV)

If you have questions about the role or would like to apply using a different format, please contact us at .

CLOSING DATE FOR APPLICATIONS: SUNDAY 12 APRIL :59 (LONDON, UK BST)

Terms and Conditions

This post is offered on a full time, fixed-term basis until 31 March 2027. The annual salary is £45,505 - £51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute

Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website .

The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.

Security Clearance

The successful candidate may be required to undergo a pre-screening check prior to an offer being made. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check.

Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role.

Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check whether they are eligible to apply for SC clearance before applying to this role.

Equality, Diversity and Inclusion

We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed.

We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to advise us how we can assist you.

Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check.

Full details on the pre-employment screening process can be requested from .

A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. This is a great opportunity to join a successful firm adding headcount as it continues to grow, and to work on highly visible quantitative systems that sit at the core of pricing, hedging and liquidity decisions. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment.

THE ROLE: Quant Developer OTC Pricing

This is a senior-level quant development role within the OTC pricing team, focused on turning quantitative ideas into robust, production-grade trading and pricing solutions. The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models.

The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment.

You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical. This is a high-impact position for someone who enjoys applying quantitative thinking to real trading and pricing problems at scale.

KEY RESPONSIBILITIES: Quant Developer OTC Pricing

• Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework
• Work alongside quantitative researchers to analyse large datasets and translate research into production-ready solutions
• Use Python for model prototyping, data analysis, signal investigation and backtesting activity
• Develop and improve pricing skew, spread and liquidity optimisation logic
• Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact
• Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency
• Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions
• Contribute to the ongoing evolution of tools and systems used in a live institutional trading environment

REQUIRED - SKILLS/EXPERIENCE:

• Strong Java development experience, ideally 5+ years
• Deep understanding of object-oriented design, concurrency, and high-performance distributed systems
• Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping
• Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems
• Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment
• Exposure to liquid markets such as FX, equities, ETFs or crypto
• Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance
• Ability to operate effectively in a role that bridges quantitative modelling and production engineering

DESIRABLE - SKILLS/EXPERIENCE:

• Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments
• Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs
• KDB+/Q
• Exposure to AWS, Docker and Kubernetes

£Up to £65,000 GBP
Competitive Bonus
Hybrid WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

Senior Data Scientist
Join a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors. This is a unique opportunity to work on cutting-edge AI and machine learning projects that make a tangible difference in the UK, supporting critical national security initiatives.

As a Senior Data Scientist, you will tackle some of the most complex data challenges, applying advanced AI and machine learning to real-world problems. You will work in a consultative, hands-on role, collaborating with clients and internal teams to design, build, and deploy impactful AI solutions.

Due to the sensitive nature of this work, candidates must be willing to undergo DV (Developed Vetting) security clearance, be sole British nationals, and have not spent more than 29 consecutive days outside the UK in the last 5 years. Please note that this role does not provide visa sponsorship and is not open to applicants on Skilled Worker or Dependent visas.

This role offers the opportunity to deliver real-world impact, working with diverse data types - including text, images, audio, video, graphs, and geolocation - while applying cutting-edge methods in AI, machine learning, and statistics.

You’ll have the opportunity to:

• Work alongside leading data scientists, AI researchers, and engineers on national security projects
• Deliver AI-enabled, data-driven solutions across government, defence, and space sectors
• Explore and implement machine learning models on complex, multi-modal datasets
• Influence technical direction and best practice in AI, ML, and statistics
• Mentor and support junior data scientists and graduates
• Engage directly with clients to scope, design, and deliver scientifically-justified solutions

Key Responsibilities:

• Act as a technical lead and trusted advisor for AI and data science expertise across projects and bids
• Lead and contribute to AI and ML projects, collaborating with ML engineers, project managers, and non-technical stakeholders
• Meet with clients to understand their challenges, scope projects, and plan delivery of AI solutions
• Support the deployment of machine learning models into production using cloud-based platforms
• Research and evaluate novel AI methods to deliver innovative, high-quality solutions
• Present complex technical findings to both technical and non-technical audiences
• Mentor and guide junior team members and graduates
• Promote AI and data science knowledge across client engagements through workshops, events, and publications

Key Requirements:

• Willingness to undergo DV (Developed Vetting) security clearance
• Sole British national with no more than 29 consecutive days outside the UK in the last 5 years
• Proven experience as a Senior Data Scientist or equivalent role
• Strong expertise in AI, machine learning, and statistical methods
• Proficiency in Python and ML/data analysis libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels)
• Experience with cloud-based ML deployment (e.g., AWS services)
• Ability to absorb complex scientific concepts and apply them to real-world problems
• Strong communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders
• Curiosity, adaptability, and a desire to deliver real-world impact

You will gain exposure to:

• Advanced AI, ML, and statistical methods applied to national security challenges
• Deployment of ML models at scale in cloud environments
• A broad range of data types, including text, images, audio, video, and geospatial data
• Ethical, privacy, and security considerations in AI/ML applications
• High-impact projects with government and defence clients
• Mentorship and development opportunities within a diverse, innovative environment

Why Join:

• Work on high-impact projects that directly support national security
• Gain deep exposure to cutting-edge AI, ML, and data science technologies
• Accelerate your career in a supportive, high-performance consultancy
• Be part of a culture that values innovation, collaboration, and scientific excellence

Interested? Apply Now!

Reference: AON/AMC/PGDataScience

#aaon

Role: Quantitative Developer

Type: Contract

Duration: 6 Month (High chance of extension!)

Rate: up to £850 P/D

Location: London

My leading FinTech client are looking for a senior Quant Developer with strong Front Office experience to join their existing team of passionate technologists to help drive forward the development of a variety of their Front Office platforms!

You will get the opportunity to join a team of like minded technologists and work on some of the most performant, scalable and reliable technology that the trading space has to offer!

This will be a 6 month (rolling contract) and can be fully remote!

The following experience/skills are required:

• Strong experience in a similar role (Quant Development/Analysis)
• Front Office experience, Ideally with experience working on Fixed Income products
• Strong Python
• experience working with modern AI/ML based agents
• Strong exposure to datalake techynologies - Snowflake etc
• Excellent communication skills

Interviews taking place ASAP. Please don’t hesitate to reach out direct.

(see below)

We're working with a forward-thinking technology company looking to hire a Graduate / Junior Software Engineer to join their growing team. This is a fantastic opportunity for someone early in their career to gain hands-on experience across a modern infrastructure stack, working on systems that are scalable, secure, and highly available. This is a hybrid role with the requirement to be in the London office 2 days per week. Our client offers good salaries and a comprehensive benefits package. The Role You'll support the reliability and performance of core systems, with responsibilities including: Automating and improving DevOps workflows Monitoring systems and responding to incidents Troubleshooting infrastructure issues and performing root cause analysis Supporting secure, scalable deployments Collaborating with developers to enhance the deployment process Documenting systems and processes About You Strong academic background (Computer Science or similar preferred) - Ideally from Russell Group University Experience with Python or another object-oriented language Good Linux/UNIX knowledge and interest in infrastructure Curious, proactive, and a strong problem solver Able to work both independently and as part of a team Tech Stack Ubuntu, Python, Ansible, Docker, Kubernetes, Kafka, LXC/LXD, Grafana, Prometheus Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. TPBN1\_UKTJ

Software Delivery Manager (Data Products / SaaS)

Location: Blackfriars, London (5 days onsite)

We are looking for an experienced Software Delivery Manager / Agile Delivery Manager to lead the end-to-end delivery of data-driven products within a fast-paced, data-centric environment.

This role is ideal for someone who thrives in SaaS or subscription-based businesses, where products are built around data, analytics, and insights, and where delivery decisions are driven by metrics and performance.

The Role

You will take full ownership of delivering a data-focused product or platform, working closely with cross-functional teams including engineering, data engineering, and analytics.

This is a hands-on delivery leadership role requiring a strong understanding of how data flows through systems, combined with the ability to use metrics and reporting to drive outcomes.

Key Responsibilities

• Own end-to-end delivery of data products and platforms
• Lead Agile delivery (Scrum/Kanban), ensuring predictable and high-quality outcomes
• Work closely with engineers, data engineers, and analysts to deliver scalable data solutions
• Drive delivery performance using data, reporting, and KPIs
• Oversee data pipelines (ETL), reporting layers, and dashboards
• Track and optimise delivery metrics such as velocity, cycle time, lead time, and throughput
• Ensure alignment between business goals, product outcomes, and delivery execution
• Provide visibility to stakeholders through clear reporting and insight-driven updates

Required Experience

• Proven experience as a Delivery Manager / Agile Delivery Manager within data-driven or SaaS environments
• Strong understanding of data products, analytics platforms, or insight-led solutions
• Experience working with cross-functional technical teams (engineering, data, analytics)
• Solid knowledge of data pipelines (ETL), dashboards, and reporting frameworks
• Experience using delivery and product metrics to drive decision-making
• Background in mid-sized (mid-market) organisations, with broad ownership across delivery

Technical & Data Capability (Essential)

Candidates must be able to demonstrate hands-on familiarity with data environments, including:

• Tools: Python, SQL, Tableau/Power BI (or similar)
• Data concepts: ETL pipelines, data modelling, reporting layers
• Metrics: Accuracy, latency, completeness, recall/precision (where relevant)
• Ability to confidently interpret and challenge data to inform delivery decisions

We are specifically looking for someone who can clearly demonstrate:

• How they measure performance
• What tools they use
• How they report insights

Why Join

• Work on data-centric products that directly drive business value
• High visibility role with end-to-end ownership
• Collaborative, fast-moving mid-sized environment

51397MS

INDLON

The Portfolio Group are acting on behalf of our client in recruiting for this position.

6 Months Contract + with possible extension

550 a day inside IR35

London Based - 2 days in the office

Active SC Clearance is Needed

A well established IT Provider is looking for an experienced Linux Engineer / Architect with a proven track record of designing, building, and maintaining mission-critical enterprise platforms to join their IT Team on a 6 months contract. You will be at the heart of their infrastructure strategy, responsible for the high-end troubleshooting, security hardening, and automation of our global server estate.

This is a role for a technical heavyweight who thrives on solving complex root-cause issues and enjoys the architectural challenge of ensuring 24/7 availability for high-traffic environments.

Key Responsibilities

• Provide expert-level guidance to engineering teams and lead root-cause analysis on complex system-wide issues.
• Linux Engineering: Manage and optimise a large-scale estate across RedHat, Ubuntu, and CentOS, ensuring peak performance of Apache, Nginx, and Tomcat stacks.
• Automation & IaC: Drive efficiency through the development of custom Ansible, Puppet, and Terraform scripts to automate deployments and server hardening.
• Security & Compliance: Lead server hardening initiatives and vulnerability mitigation, ensuring our infrastructure meets rigorous industry standards (including ISO27001 or MOD restricted requirements).
• Infrastructure Design: Produce High-Level and Low-Level Design (HLD/LLD) documentation for monitoring suites and hybrid cloud integrations.
• Network & Storage: Configure and troubleshoot advanced networking (DNS, VIP, Load Balancing) and manage enterprise-grade storage solutions (SAN/NAS).

The Successful candidate should have the following essential skills

• A minimum of 11 years of deep Linux experience (20+ years preferred)
• Advanced proficiency in Bash and Python, with the ability to write bespoke tools to improve system efficiency.
• Practical experience with AWS or Azure migrations and managing virtualised environments via VMware.

6 Months Contract + with possible extension 550 a day inside IR35

London Based - 2 days in the office

Active SC Clearance is Needed

If you are an experienced Linux Engineer with a background that matches the above then I want to hear from you. If this seems of interest to you then please apply directly to the AD or send your CV to (url removed)

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Role Title: QA Automation Test Engineer

Duration: contract to run until 30/09/2026

Location: Mainly remote odd day in London for workshops

Rate: up to 483 p/d Umbrella inside IR35

Clearance required: SC eligible, 5 years in the UK and less that 28 days outside of the UK

Role purpose / summary

Skilled QA automation Engineer to design, build and execute selenium-based load-testing scripts to validate PowerBI Fabric capacity and Visualisation performance, scalability, and reliability and develop regression test scripts.

The role involves modelling user behaviour at scale, automating test scenarios, and ensuring Fabric-backed workloads perform optimally under expected and peak usage conditions.

Key Responsibilities:

Load Test Script Development

• Develop Selenium WebDriver scripts and test cases that simulate hight level user interactions across PowerBI Fabric experiences.
• BuildScalable automation flows that mimic:
  • Report and dataset opening
  • Navigation actions
  • Refresh events
• Create parameterized and data-driven scripts to vary user patterns, concurrency levels, and execution timing.
• Develop regression test script pack.

Performance & Capacity Testing

• Design and execute load, stress and endurance tests specifically targeting PowerBI Fabric capacity limits.
• Capture metrics such as response times, resource consumption, and capacity exhaustion behaviour.

Framework & Tool Integration

• Integrate Selenium tests with performance-oriented tools i.e. JMeter
• Configure distributed/parallel Selenium execution
• Ensure automation runs effectively at scale across multiple browsers and sessions.

Required Skills & Experience

Technical Skills

• Strong hands-on experience with Selenium WebDriver and UI automation frameworks
• Proven experience designing and executing load, stress, and scalability tests
• Proficiency in one or more automation languages (Python, Java)
• Knowledge of:
  • Distributed workload execution
  • Multi-threading and parallelisation concepts
  • REST API testing and validation
  • Familiarity with Microsoft PowerBI, Fabric workloads, or similar analytical tools

Soft Skills

• Strong attention to details and analytical thinking

• Excellent problem solving and debugging skills

• Clear communicator able to articulate findings to engineering, delivery manager and leadership teams

• Ability to work autonomously and collaboratively in cross-functional environment

• Microsoft Power BI performance testing desirable

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Director of Product Engineering (Healthcare IT)

Location: London (Hybrid 2-3 days per week in the office)

Regular international travel to India is required

Reporting to: CTO

Overview

We are seeking an accomplished Director of Engineering to lead and scale our engineering organisation within a high-growth, health-focused environment. This is a rare opportunity to shape the future of technology platforms that support critical healthcare services while driving operational excellence across distributed teams in the UK and India.

This role requires a rare blend of deep technical expertise, organisational leadership, and business partnership. You will operate as a senior technical authority, a people leader, and a trusted partner to the business-capable of shaping architecture, driving delivery across multiple initiatives, and building strong day-to-day relationships with senior stakeholders.

You will be joining a high-growth organisation that has scaled to approximately 60M in revenue and is targeting 140M+, requiring the ability to operate effectively in a fast-paced, evolving environment with increasing scale and complexity.

The successful candidate will be a strategic leader, technical authority, and business partner capable of delivering secure, scalable, and compliant systems. You will operate at the intersection of architecture, delivery, and organisational leadership, influencing senior stakeholders and guiding high-performing teams to success.

Key Responsibilities:

Leadership & Delivery

• Lead multiple engineering teams across the UK and India, delivering complex initiatives in parallel
• Own end-to-end delivery across multiple projects, ensuring alignment, prioritisation, and predictability
• Establish robust operating models for distributed teams and multiple workstreams
• Drive clarity on dependencies, timelines, and outcomes to senior leadership

Technical Leadership

• Define architecture and platform strategy across mobile (Flutter), web (Next.js), and backend (Node.js, Python)
• Lead and optimise AWS cloud infrastructure for scalability, resilience, and cost efficiency
• Champion best practices in microservices, API-first design, DevOps, CI/CD, and infrastructure as code
• Provide hands-on architectural guidance and challenge technical decisions as needed

Product & Business Partnership

• Partner closely with Product and business leaders to translate priorities into actionable delivery plans.
• Working closely with Heads of Product, Data, Security, Customer Experience & The COO
• Advise on feasibility, trade-offs, and timelines with clarity and influence
• Ensure engineering output aligns with business value and measurable user outcomes

People & Culture

• Build, mentor, and retain high-performing engineering teams across geographies
• Develop engineering managers and technical leads, establishing clear ownership and accountability
• Foster a cohesive, collaborative culture with consistent standards and ways of working

Delivery & Compliance

• Oversee the delivery of secure, compliant healthcare systems
• Ensure adherence to data privacy, security, and regulatory standards
• Track and report engineering metrics, including quality, reliability, and performance

Requirements:

Experience

• 10+ years in software engineering, with 3-5 years in senior leadership roles
• Proven track record in managing multiple teams or pods delivering in parallel
• Hands-on engineering or architectural experience
• Experience leading high-performing teams and partnering with Product and business stakeholders
• Experience in regulated industries (healthcare is preferred)
• Demonstrated success scaling teams, processes, and systems in fast-growth organisations

Technical Skills

• Deep knowledge of modern software architecture (cloud, microservices, APIs)
• Experience with Flutter (mobile), Next.js (web), Node.js/Python (backend)
• Extensive AWS cloud expertise
• Ability to provide strategic guidance and challenge teams on design, scalability, and implementation

Leadership Profile

• A Hybrid leader: strategic, technical, and people-focused
• Strong communicator capable of influencing senior stakeholders and distributed teams
• Comfortable navigating ambiguity and driving clarity across complex programmes

Success Metrics

• High-performing pods delivering consistently against goals
• Trusted partnerships with Product and business stakeholders
• Cohesive, scalable AWS-based platform
• Engaged, high-performing teams across the UK and India
• Predictable delivery and clear technical direction

In Return

You will receive a market-leading salary of up to 150,000 plus generous company benefits and a forward-thinking and fast-growing business for you to excel in.

Overview The Cloud Team is part of Digital Engineering Services within the Corporate Technology division Securities. As AI adoption accelerates across our business lines, we are evolving from a traditional cloud infrastructure function into a diverse engineering capability focused on enabling scalable, sustainable AI solutions. To effectively scale AI adoption and enhance our functional offerings across a dynamic and evolving environment, we are expanding the team with engineers who combine strong cloud expertise with robust software engineering skills. These engineers will help define and deliver next-generation cloud patterns, automation frameworks, and AI-driven solutions that meet governance, security, and regulatory needs. You will join a small, dynamic team of engineers working across Azure, Oracle Cloud, and AWS (as it is onboarded), building secure, repeatable cloud and AI foundations that underpin our critical banking services. Key Responsibilities Liaise with application teams and other infrastructure teams. Implement solutions for applications. Work with other members of the cloud team to increase the stability, security and cost effectiveness of the platforms. Provide BAU and Project support to cloud users. Produce architectural designs based on the business requirements documents for projects. Main Purpose of the Role This is a hands‑on engineering role at the intersection of cloud platforms, software development, and AI enablement. You will design, develop, and support bespoke cloud and AI solutions across Azure, Oracle Cloud, and later AWS, applying strong engineering discipline to deliver secure, scalable and sustainable patterns. You will be expected to work autonomously, manage ambiguity, and adapt rapidly to evolving business needs while collaborating with application and infrastructure teams to deliver secure, compliant AI and cloud solutions. Key Responsibilities Design and implement cloud and AI‑ready solutions on Azure (primary), Oracle Cloud, and AWS (as onboarded). Develop bespoke automation, integration, and AI‑driven components to support business requirements. Build and maintain REST APIs, integration services, and identity-aware solution patterns. Deliver operational (BAU) and project support for cloud and AI workloads. Collaborate across teams to enhance platform stability, security, compliance, and cost efficiency Drive automation, Infrastructure‑as‑Code, CI/CD, and modern engineering practices. Implement governance controls and guardrails for responsible, regulatory-compliant AI use. Produce architectural designs and engineering documentation to support scalable, repeatable solution patterns.LS D EXPERIENCE Essential Experience Deep hands‑on Azure engineering experience, including Infrastructure‑as‑Code (Bicep/ARM/Terraform). Strong proficiency in Python and PowerShell for automation, integration, and AI workflows. Real‑world experience implementing and supporting cloud platforms and identity solutions (Azure, Oracle, Entra ID). Experience developing REST APIs, integrating services, and implementing identity flows (OAuth2, tokens). Familiarity with Azure OpenAI, OpenAI SDK/models, and applying AI services to real-world use cases. Strong knowledge of IAM, security patterns, governance, and compliance requirements. Preferred Experience Experience with Azure API Management or similar API gateways. Exposure to AI governance, model lifecycle controls, or responsible AI implementation in regulated environments. Knowledge of Foundry, vectorisation patterns, or AI orchestration frameworks

Our client is a well established company in its field are currently recruiting an

Infrastructure IT Engineer

Permanent full time office based Monday to Friday

Design, deploy, and manage IT infrastructure systems, including servers, networks, and storage solutions.

Monitor and maintain system performance, ensuring high availability and reliability.

Implement and manage security measures to protect data and systems.

Troubleshoot and resolve hardware and software issues.

Collaborate with other IT team members to support various projects and initiatives.

Maintain documentation for infrastructure configurations, processes, and procedures.

Bachelor’s degree in Computer Science, Information Technology, or a related field.

3+ years of experience in IT infrastructure engineering or a similar role.

Strong knowledge of network protocols, server hardware, and virtualisation technologies.

Experience with cloud platforms (e.g., Azure, AWS) and hybrid environments.

Proficiency in scripting languages (e.g., PowerShell, Python) for automation a benefit.

Excellent problem-solving and analytical skills.

Strong communication and teamwork abilities.

Relevant certifications (e.g., CompTIA Network+, Microsoft Certified: Azure Administrator) are a plus.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.

Central London (3 days a week in the office)

Up to £70,000 per annum + Bonus + Generous Benefits Package

We are working with an exciting technology company that are looking to bring in a Site Reliability Engineer to help scale their cloud infrastructure and DevOps capability.

They’ve built a high-performing engineering team and are now investing further into the platform side of things as demand grows. Think modern, cloud-native architecture, and a real emphasis on automation, scalability, and developer enablement. You’ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale.

Tech stack

• AWS (Core services - EC2, RDS, S3, IAM, etc.)
• Monitoring and Observability Grafana, Prometheus, Datadog
• Kubernetes (building and managing production clusters)
• Terraform (IaC provisioning)
• Python, Bash or Go (scripting, automation)
• GitHub Actions (CI/CD pipelines)

What They’re Looking For

• Experience in AWS cloud infrastructure (ideally in a regulated or high-traffic environment)
• Previous experience working with Monitoring and Observability Tools
• Hands-on Kubernetes know-how, specifically with EKS.
• Solid IaC experience with Terraform.
• Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar)
• Solid scripting/Automation experience with Python, Bash or Go
• A good communicator who enjoys working collaboratively across product and engineering.

Desirable

Certifications - CKA, CKAD, AWS Solutions Architect etc.

The client is willing to consider candidates without all the required skills and provide an environment to learn and grow on the job.

Training and development is at the forefront of the business, where you will get plenty of opportunities to progress your career in whatever path you want.

Site Reliability Engineer

Central London (3 days a week in the office)

Up to £70,000 per annum + Bonus + Generous Benefits Package

Click APPLY NOW to be considered for this position!

AWS, SRE, Cloud, Kubernetes, EKS, Terraform, CI/CD, Automation etc.

I am recruiting for a Data Scientist to work on a hybrid basis - 2-3 days in London, remaining time remote. The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract. This role will move into a permanent position after the 6 months so please only apply if this is suitable for you. I am recruiting for a Data Scientist / ML engineer with several years of experience. You will have experience of driving new data insights to uncover business opportunities & revenue streams, have a firm understanding of statistics and data visualisation for communication and also have an understanding of business growth areas & how to utilise important data. Experience of supporting data science projects in a consulting environment is essential for this role. You must have a number of years of experience participating in projects that focused on some of the following - Predictive Analytics, Data Design, Statistics, AI/ML or ML Ops. You must have experience of using Python and/or R to analyse disparate data sets. Experience of Gen AI / LLM hands on development is preferred. Please apply ASAP to find out more.

Data Engineer (Mid Level) £45,000–£55,000 Remote (1-2 days per month London, Leeds or Preston) Tech Stack: GCP (BigQuery, Dataflow), DBT, Terraform, Airflow (Composer), Python, SQL VIQU are working with a growing, data-driven organisation they are building out a modern Data Platform following a successful migration from on-premise to Google Cloud. Sitting within a well-established Data Office, the team is now focused on developing a scalable Data Mesh architecture. This is a strong opportunity for a mid-level Data Engineer to join a collaborative product-led environment, working with modern tooling and contributing to the end-to-end delivery of data products. Key Responsibilities Design, build, and maintain scalable data pipelines and data products using modern ELT principles Work closely with product managers, architects, and engineers to deliver data solutions aligned to business needs Contribute across the full data product lifecycle, from design and development through to deployment and optimisation Ensure high-quality, well-documented code and maintain strong engineering standards Support CI/CD processes, environment management, and deployment pipelines Translate technical challenges into clear, structured solutions for both technical and non-technical stakeholder Key Requirements 3–5 years’ experience in Data Engineering, with strong exposure to ETL/ELT pipelines Strong SQL and Python skills, with hands-on experience building data pipelines Experience with DBT, Terraform, and version control (Git) Exposure to Airflow (or similar orchestration tools), Docker, and CI/CD practices Cloud experience in GCP (BigQuery preferred) or Azure/AWS environments Understanding of modern data concepts including Data Mesh, Agile delivery, and test-driven development Strong problem-solving skills with the ability to work independently and within a collaborative team Apply now to speak with VIQU IT in confidence. Or reach out to Noah Yeoman via the VIQU IT website. Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment

We are looking for an Infrastructure Software Engineer to help keep our clients’ systems reliable, secure, and scalable. This is a hands-on role working across a broad stack - from Linux servers and networking to containers and big data platforms - with a strong focus on automation and problem-solving. The successful candidate must have strong on-prem experience and will ideally have a good mix of infrastructure and programming knowledge.

This is a hybrid role with the expectation to be in the office 2 days a week. As well a competitive salary, out client offers a comprehensive benefits package which includes a bonus scheme.

Key Responsibilities

• Automate and optimise DevOps workflows
• Monitor system health and respond to incidents
• Troubleshoot infrastructure issues and perform root cause analysis
• Identify and remediate security vulnerabilities
• Support developers with deployments and improve developer experience
• Maintain documentation (runbooks, processes, architecture)

Skills

• Experience with Linux systems administration
• Shell scripting and strong coding ability
• Problem-solving through automation
• Ability to prioritise and work independently
• Strong communication and teamwork skills

Desirable

• Knowledge of networking (TCP/IP) and full-stack infrastructure
• Experience with Git, Python, and Ansible
• Familiarity with containers (Docker, Kubernetes, LXC)
• Experience with monitoring tools and SQL databases
• Exposure to big data systems (e.g., Spark, HDFS, Airflow)

Summary

A great opportunity for someone who enjoys solving complex infrastructure challenges, automating systems, and working closely with engineering teams.

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

This is a rare opportunity to apply serious data engineering in a domain where latency, correctness, and reliability carry direct commercial weight.
Requirements
6+ years data engineering in production environments; Python expertise - idiomatic, well-tested, production-grade code, not notebook scripts
ETL/ELT pipeline design and implementation at scale; orchestration with Airflow, Prefect, or equivalent; reliability-first mindset including backfill, retry, and exactly-once semantics
Azure data platform - Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage; infrastructure as code for data workloads (Terraform or Bicep)
Databricks - Delta Lake, Unity Catalog, job cluster vs interactive cluster trade-offs, cost-aware compute management, Spark job optimisation
Relational databases: PostgreSQL at production scale - query optimisation, indexing strategies, table partitioning, replication, schema design for both OLTP and analytical workloads
MongoDB - document modelling, aggregation pipelines, indexing strategy, replica sets; clear judgment on when document vs relational storage is the right architectural call
Containerisation: Docker and Kubernetes-based deployment of data workloads; reproducible, environment-agnostic data infrastructure
Data modelling for analytical workloads - dimensional modelling, data vault, or equivalent; schema evolution, slowly changing dimensions, and downstream impact analysis
Stream and batch processing patterns; late data handling, watermarking, and backfill strategies; throughput vs latency trade-offs in pipeline design
Production data observability - data lineage, quality checks, SLA monitoring, alerting on freshness and completeness; treating data correctness as a first-class concern
CI/CD for data infrastructure - version-controlled pipelines, automated data quality testing, reproducible and auditable deploys
Ability to work directly with quant researchers, risk managers, and traders - translate business requirements into reliable, well-documented data products
Nice to Have
Financial markets data - market data feeds (Bloomberg, Refinitiv), tick data, trade history, reference data, or instrument master management
Apache Spark or Flink for large-scale stream and batch processing beyond the Databricks ecosystem
dbt or equivalent SQL transformation layer; experience building and maintaining dbt projects in a production data warehouse
Event streaming with Kafka or Confluent Platform - topic design, consumer group management, exactly-once delivery guarantees
OLAP-optimised stores - ClickHouse, DuckDB, or equivalent; understanding of columnar storage and vectorised query execution
Energy, commodities, or broader financial markets domain knowledge
What We’re Looking For
You treat data as a product, not a side effect. You know what it takes to make a pipeline trustworthy - not just running, but observable, tested, and recoverable when something upstream changes at 3am. You think in systems: schema evolution, lineage, freshness SLAs, and the downstream impact of every modelling decision. At ETrading , that data is the foundation of billion-dollar trading decisions. You are the reason it is right.

To find out more about Huxley, please visit (url removed)

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales