We’re seeking a IT Service Performance & Reliability Manager to take ownership of performance, capacity, and resilience across critical IT services. This role focuses on keeping customer-facing services fast, reliable, and fully observable, while driving continuous improvement.

You will lead observability across services, ensuring effective monitoring and actionable insights. You’ll manage capacity and performance through forecasting and trend analysis, identifying risks early and driving improvements. Ensure resilience and availability are built into services from the outset, while supporting continuity planning and risk management. Working closely with technical teams and stakeholders, you’ll help resolve issues and deliver ongoing service improvements.

Key Requirements

• Experience managing capacity and performance in IT environments
• Hands-on experience with AWS and Azure
• Strong knowledge of ITIL v3/v4 (certification required)
• Experience with monitoring/observability tools (e.g. Zabbix, Grafana, Kibana, OpenSearch)
• Knowledge of Windows and Linux server environments
• Scripting skills (e.g. Python, PowerShell, Node.js)
• Experience integrating data via APIs, webhooks, or messaging
• Strong analytical, problem-solving, and stakeholder management skills

Desirable:

• DevOps exposure
• Network infrastructure and communications protocols knowledge
• Experience with social alarm platforms

If you’re looking for a role where you can make a tangible impact on service performance and resilience, we encourage you to apply.

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

£700-750/day overall assignment rate to umbrella

Fully remote

6 month initial

Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.

As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.

We’re looking for individuals with:

• Experience: Proven background as a Machine Learning Engineer.
• Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).
• Data transformation & manipulation: experience with Airflow, DBT and Kubeflow
• Cloud: Experience with GCP and Vertex AI (developing ML services).
• Expertise: Solid understanding of computer science fundamentals and time-series forecasting.
• Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

£90k + bonus + equity + benefits, Remote (UK)

Our scale-up digital marketplace client is looking for a hands-on Senior Platform Engineer to join a growing team, working directly with the Head of Platforms to build and scale a modern AWS environment.

This is a great opportunity for someone who enjoys owning infrastructure, solving real engineering problems, and working across the full platform life cycle in a lean, high-impact environment.

The role…

• Building and operating AWS infrastructure
• Leading cloud migrations and platform improvements
• Writing Infrastructure as Code (Terraform, Pulumi, or OpenTofu)
• Improving monitoring & observability (Datadog)
• Developing CI/CD pipelines (GitHub, CircleCI)
• Supporting engineers with deployments and new services

What we’re looking for…

• Strong Platform Engineering experience
• Deep AWS knowledge
• Infrastructure as Code expertise
• Python Scripting skills
• CI/CD experience (GitHub, CircleCI)
• Comfortable working in a fast-moving, evolving environment

Nice to have

Background in Back End/software engineering

Experience in scaling organisations

Location: Remote (UK-based, quarterly meetups)

Sound like you? Please get in touch.

Are you passionate about turning data into actionable insight and driving transformation across a global business? At Specsavers, we're looking for a Data Business Analyst to join our team, a fantastic opportunity to work at the heart of Data projects and change initiatives that shape the future of customer experience. Imagine being the person who works closely with Data Product Managers, Data Modellers, Architects, Engineers, and Quality Analysts to define and prioritise the product backlog, build robust requirements, and create development ready user stories. You'll be hands on with data analysis, mapping source data landscapes, and collaborating with stakeholders to ensure solutions are fit for purpose and scalable for the long term. You'll thrive in this role if you're proactive, detail-oriented, and comfortable rolling up your sleeves to tackle challenges. Your strong SQL skills and ability to read and interpret engineering code (SQL, Python) will help you explore datasets, profile values, and understand how data is sourced, transformed, and loaded in pipelines. You'll be adept at conducting workshops, interviews, and prototyping sessions to elicit, clarify, and agree requirements, and you'll play a key role in user story elaboration, refinement, and user acceptance testing. What sets you apart is your ability to think conceptually, engage stakeholders, and translate complex business needs into clear, actionable data requirements. You'll bring experience working on data workstreams within large-scale enterprise transformation programmes, such as reporting & analytics, data migration, or MDM and you're comfortable with Agile frameworks, backlog management, and user story decomposition. If you're ready to make a real impact helping Specsavers deliver seamless customer experiences across online and in-store journeys, this is your chance. Join us as a Data Business Analyst and help shape the data foundations that support our mission to change lives through better sight and hearing.

GCP Cloud Security Engineer / GCP Security Expert Contract, 6 months initially (very likely extensions)
Inside IR35
Remote (UK)
£(Apply online only) per dayWe’re working with a client on an exciting cloud-first transformation and are looking for a GCP Cloud Security Engineer to play a key role in securing the migration of workloads into Google Cloud. This is an excellent opportunity to join a forward-thinking environment where security is central to cloud adoption. The Role You will be responsible for designing, implementing, and maintaining security controls across a growing GCP estate, ensuring applications and infrastructure are migrated securely and aligned with best practices. Key Responsibilities Implement and manage security controls across Google Cloud Platform (GCP)
Support the secure migration of applications and infrastructure into GCP
Integrate cloud environments with tools such as Okta, Splunk, and Prisma Cloud (Palo Alto Networks)
Configure and manage IAM, network security, and access policies
Monitor cloud environments for vulnerabilities, risks, and misconfigurations
Troubleshoot and resolve security-related issues throughout the migration lifecycle Skills & Experience Hands-on experience with GCP security services (e.g. IAM, VPC, Security Command Centre)
Proven experience supporting cloud security migrations or similar projects
Strong understanding of cloud security principles and best practices
Experience integrating security tooling within cloud environments
Scripting or automation experience (e.g. Python, Terraform) is beneficial

DevOps Engineer (Performance Testing) 6 Months Contract + extension £600 per day (Inside IR35) Remote working Please note active SC Clearance is needed for the role A leading global consultancy is looking for an experienced hybrid devOps and Performance specialist to superhead critical national infrastructure projects. You will essentially ensure the resilience and scalability of a massive cloud-native environment. This is a high-visibility role where you will bridge the gap between infrastructure stability and rigorous performance validation. Key Responsibilities Infrastructure & CI/CD: Design, build, and maintain robust CI/CD pipelines to automate deployment cycles.
Performance Engineering: Lead the charge on system reliability by executing complex performance test runs, identifying bottlenecks, and implementing upgrades.
System Integrity: Proactively monitor the service environment, diagnosing faults within the cloud infrastructure and delivering detailed technical reports.
Collaboration: Work as a core member of the DevOps and Infrastructure teams to ensure seamless environmental upgrades and stability.Essential Skills Cloud Infrastructure: Deep hands-on experience with AWS.
Orchestration: Proven expertise in Kubernetes and containerized environments.
Automation & Scripting: Strong proficiency in Python, Bash, or PowerShell.
CI/CD Tooling: Expert knowledge of Jenkins and Concourse.
Performance Testing: Extensive experience writing test strategies and using tools such as JMeter, K6, Postman, or Swagger.
Infrastructure as Code: Solid experience with Ansible.
Observability: Proficiency with monitoring and logging stacks (Prometheus, Grafana, and ELK).
Testing Philosophy: A background in both manual testing and automated performance validation. 6 Months Contract + extension | £600 per day (Inside IR35) |Remote working Please note active SC Clearance is needed for the role If this seems of interest then please apply directly to the AD or send your CV to Randstad Technologies is acting as an Employment Business in relation to this vacancy

Senior Python Engineer (AI Systems) Salary: £60,000 – £90,000
Location: Remote
Eligibility: Applicants must have the right to work in the UK (no sponsorship available) The Opportunity What if the systems you built didn’t just optimise engagement, but played a role in determining someone’s future career? This is an opportunity to work on AI solutions that directly impact education, certification, and access to skilled professions. Your work will sit at the intersection of large language models, evaluation frameworks, and high-stakes decision-making, where precision, fairness, and reliability matter. About the Company This UK-based AI organisation is redefining how professional certification and assessment are delivered. Their goal is to make accreditation more accessible, scalable, and fair through intelligent automation. You’ll join a small, highly capable team where engineers are trusted to take ownership, influence direction, and deliver meaningful outcomes. Collaboration is strong, and the focus is on building systems that work—properly. What You’ll Gain * High levels of ownership and autonomy * The chance to build AI systems with real-world impact * End-to-end involvement across the AI lifecycle * A collaborative, pragmatic engineering culture * Exposure to LLM evaluation, multimodal AI, and human-in-the-loop systems The Role As an AI Engineer, you’ll design and scale intelligent systems that evaluate knowledge and skills accurately and efficiently. Your work will include: * Developing AI-driven assessment pipelines using structured data and evaluation criteria * Building evaluation frameworks, datasets, and testing methodologies * Working with LLM workflows, focusing on performance, cost, and reliability * Applying statistical techniques to validate improvements * Contributing to systems that handle text, image, and video inputs * Generating clear, explainable feedback for users * Implementing monitoring, observability, and evaluation pipelines * Designing safeguards such as confidence thresholds and human review processes * Building APIs and deploying scalable solutions in the cloud * Contributing to system architecture and technical direction The Ideal Candidate You’re an experienced AI/ML engineer who enjoys solving complex problems and takes pride in building systems that are robust and maintainable. You’ll likely have: * Around 4+ years’ experience in AI/ML engineering (or a relevant PhD with industry exposure) * A track record of delivering end-to-end ML systems in production * Strong Python programming skills, with experience building reliable backend systems and APIs * Hands-on experience with LLMs and modern AI workflows * Experience with evaluation frameworks and model optimisation * Familiarity with testing, observability, and experimentation practices * Experience deploying to cloud environments (AWS preferred) * A solid understanding of fairness, privacy, and model integrity * Confidence working in a fast-paced, small team Apply Now If you’re looking to build AI systems that genuinely matter—and want the freedom to shape how they’re designed and deployed, this is a standout opportunity. Please note: this role does not offer visa sponsorship, and applicants must already have the right to work in the UK. Apply today or get in touch for a confidential discussion

Avanade UK Ltd is an IT consulting company that helps organisations improve their operations through technology. Specialising in Microsoft platforms, it provides services in cloud computing, data and AI, cybersecurity, and business applications, supporting clients with digital transformation and modern workplace solutions.

Why join us?

• You will become part of an active and growing AI community
• Your future colleagues will help you with questions and challenges. Moreover, there is a pleasant, informal working atmosphere
• Knowledge development is our focus, and we ensure this both by offering formal training opportunities as well as informal evenings where peers share their knowledge
• With your passion, you can use the latest Microsoft technology to make a daily difference for our customers in the Enterprise market
• We have a strong focus on the career and development opportunities of all our people
• Everyone has a career advisor who will work with you to guide you in choosing from the many training opportunities we offer
• A diverse environment where respect for our clients, our teams, and the world around us is at the heart of everything we do

Together we do what matters!

Responsibilities:

• Contribute to technology and digital transformation projects
• Assist in preparing client presentations and proposals
• Conduct research and analysis on IT and technology trends
• Work with senior team members to analyse business practices and identify technology-driven improvement opportunities
• Collect, clean, and prepare data from multiple sources to ensure quality and usability
• Write and maintain scripts using Python and SQL to process and analyse data
• Support exploratory data analysis to identify trends, patterns, and insights
• Assist in developing and testing basic machine learning models
• Help build dashboards and visualizations using tools such as Power BI
• Test and validate data pipelines to ensure accuracy and reliability
• Work with cloud-based data platforms and support data workflows

Required skills:

• Passion for technology & digital innovation
• Motivation for a career in technology consulting
• Curiosity about Data & AI, Cloud, Software Engineering, or Cybersecurity
• Basic interest/experience in Python, SQL, C#, automation, or software development
• Familiarity or willingness to learn Git, DevOps, engineering principles
• Desire to train on Microsoft Azure or existing Microsoft certification
• Interest in cloud platforms (Azure preferred)
• Communication skills (written & spoken English)
• Analytical thinking and problem-solving
• Teamwork and collaboration

The following experience would be beneficial:

• Basic Python / SQL / C# / automation
• Knowledge of data engineering, AI, software engineering, cybersecurity, IAM, or cloud security
• Awareness of Agile/Scrum
• Interest or experience with Azure, AWS, or GCP
• Version control or DevOps exposure

Entry requirements:

Standard entry:

• Level 3 qualification (apprenticeship/A-levels/BTEC, etc)
• OR equivalent work experience (typically two years in a relevant role)

Plus:

• 5 GCSEs, including English and Maths at Grade 4 © or above
• Experience with using Excel and Microsoft products (or similar)

You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.

If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.

For more information please visit the UK ENIC website.

Working hours: 40 hours per week

Benefits:

• Salary: £24,707 pounds/year
• Holidays: 25 days/year
• Group Personal Pension Plan (GPPP) - We support your long-term financial future from the very start of your career with us. Employees are automatically enrolled into our Group Personal Pension Plan in their second month of employment, making it easy to begin building retirement savings early. Contributions are made via salary sacrifice, with the company contributing 7% and employees contributing a minimum of 3.5%, with the flexibility to adjust contributions twice a year (January and July). Our pension scheme offers a range of investment fund options, giving you the flexibility to align your pension strategy with your personal goals
• Life Assurance
• Private Healthcare Plan (Administered by AXA)
• Dental Insurance (Bupa)
• Peppy Health App: Through our partnership with Peppy, employees have access to personalized, expert-led support across key life and health areas — including women’s health, men’s health, fertility, menopause and early parenthood. The service is available to employees and their partners aged 18+, and includes confidential chat support, educational webinars and one-to-one video consultations with qualified practitioners — providing accessible guidance when it matters most
• Flu Vaccination Reimbursement: To support seasonal wellbeing, employees can claim reimbursement of up to £25 annually towards the cost of a flu vaccination
• Professional certification funding - Microsoft certification provided 100% free by our company
• Equipment provided: laptop + access to latest Microsoft Technologies

Future prospects:

• Transition into Technology Consultant or Engineer roles
• Exposure to cloud services, app development, data platforms, automation, analytics
• Opportunities to work on Microsoft-powered solutions
• Opportunity to progress onto a degree apprenticeship

About QA:

Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we’re a top 50 training provider, dedicated to helping you succeed.

Interested? Apply now!

Please be advised that this advert may close prior to the closing date stated above if a high number of applications are received. If you are interested in this vacancy please apply below as soon as possible.

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

About the Role

Join our Investment Analytics Team as a Senior Data Scientist, where you’ll partner with investment professionals and cross-functional teams to shape the future of data-driven investing .

As a Senior Data Scientist, you’ll play a key role in developing quantitative research and data science solutions that improve investment outcomes. You’ll collaborate closely with investment teams and Analytics colleagues, contribute to the development of internal tools, and support innovation initiatives across investments .

Key Responsibilities

• Collaborate closely with investment teams to understand their challenges and contribute to data - driven solutions, building strong working relationships across the business.

• Translate business problems into experiments and end - to - end solutions, delivering work that provides clear, measurable value.

• Design, develop, and deploy quantitative research and machine learning models to enhance investment decision - making.

• Contribute to the design and implementation of scalable data science and ML systems, leveraging cloud platforms and big data tools.

• Manage work across multiple projects, balancing delivery priorities and collaborating with peers and leads to ensure timely outcomes.

• Communicate complex technical concepts and insights clearly to both technical and non-technical stakeholders, using compelling storytelling to present assumptions, limitations and drive action.

• Stay abreast of the latest industry and academic developments in data science, quantitative finance and technology, identifying those with potential business impact.

• Apply and promote best practices in data science, including code quality, security, documentation, and agile methodologies.

  Experience & Skills

• Significant experience applying data science in investments, with a proven track record of delivering end-to-end solutions from research prototype to production deployment .

• Deep expertise in quantitative research, backtesting , factor-based investing, and machine learning applications in trading.

• Advanced programming skills in Python and SQL; strong experience with data visualisation tools to present analy sis to investment audiences .

• Hands-on experience with relational databases, cloud computing platforms and big data technologies .

• Demonstrated experience contributing to the design and scaling of data science and ML systems in a production environment.

• Excellent communication skills, with the ability to translate complex analytics into actionable business insights.

• Strong understanding of the investment process, trading across asset classes, and financial markets.

• Proactive, analytical, and structured approach to problem-solving, with a passion for innovation and continuous improvement.

• Comfortable working under pressure in a fast-paced environment; strong prioritisation skills and experience working in agile, iterative teams.

• A curious mindset with appetite to learn new technologies and techniques, and to push for practical innovation.

• Advanced degree (MSc/PhD) in a quantitative discipline (Statistics, Mathematics, Computer Science, Physics, Financial Engineering , CFA , CQF or similar).

Recruiter: Sarah Hawkins
Job Level: Manager or Expert

What we offer:

At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future. Our UK benefits include:

• As a savings and Investments firm we are proud to offer a valuable pension scheme of 18% , with 13% made up of Employer Contributions and 5% Employee Contributions . We also offer Share Save and our Share Incentive Plan , together with access to financial wellbeing and support services - to help give you real confidence to put your money to work.
• Enjoy 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy - to balance your work and personal commitments.
• Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - as supporting families is a core aspect of our inclusive culture.
• Health & Protection cover including Private Healthcare , Critical Illness cover and Life Assurance for you, with family options - for peace of mind.

To explore more about life at M&G and our full benefits offering, visit Life at M&G

We have a diverse workforce and an inclusive culture at M&G, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

M&G is also proud to be a Disability Confident Leader , and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions.

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at: careers@mandg.com

• Contract, 6 months initially (very likely extensions)
• Inside IR35
• Remote (UK)
• (Apply online only) per day

We’re working with a client on an exciting cloud-first transformation and are looking for a GCP Cloud Security Engineer to play a key role in securing the migration of workloads into Google Cloud.

This is an excellent opportunity to join a forward-thinking environment where security is central to cloud adoption.

The Role

You will be responsible for designing, implementing, and maintaining security controls across a growing GCP estate, ensuring applications and infrastructure are migrated securely and aligned with best practices.

Key Responsibilities

• Implement and manage security controls across Google Cloud Platform (GCP)
• Support the secure migration of applications and infrastructure into GCP
• Integrate cloud environments with tools such as Okta, Splunk, and Prisma Cloud (Palo Alto Networks)
• Configure and manage IAM, network security, and access policies
• Monitor cloud environments for vulnerabilities, risks, and misconfigurations
• Troubleshoot and resolve security-related issues throughout the migration lifecycle

Skills & Experience

• Hands-on experience with GCP security services (e.g. IAM, VPC, Security Command Center)
• Proven experience supporting cloud security migrations or similar projects
• Strong understanding of cloud security principles and best practices
• Experience integrating security tooling within cloud environments
• Scripting or automation experience (e.g. Python, Terraform) is beneficial

Role: DevOps Manager

Location: Remote - UK-based preferred
Salary: Up to £70k plus benefits

Your mission, should you choose to accept it, is to take full control of the build, release, and deployment landscape for a suite of Java-based enterprise applications.

You ll be the one making sure everything flows as it should-from code commit through to deployment- smoothly, reliably, and without drama.

Pipelines breaking? Fix them.
Builds taking too long? Speed them up.
Manual processes creeping in? Automate them away.

You ll be working closely with developers, QA, and project teams, but this is very much a hands-on role where you ll have the freedom to own the DevOps space and shape how things are done.

The environment you re stepping into is a well-established software house with a strong Java focus. There s a solid foundation in place, but plenty of opportunity to improve, optimise, and modernise how things are done-especially around automation, documentation, and future cloud strategy.

Day to day, you ll be getting stuck into things like:

• Building and refining CI/CD pipelines for Java applications
• Integrating IBM EWM/RTC into automated workflows
• Maintaining and improving scripts that handle server installs and upgrades
• Embedding code quality checks through SonarQube
• Managing Maven-based builds and release processes
• Packaging and deploying applications into Wildfly and SQL Server environments
• Working with engineers to remove bottlenecks in the delivery process
• Documenting everything clearly so nothing lives only in your head

The tech for this mission is:

• Java & Maven
• IBM EWM / RTC
• CI/CD tooling (Jenkins, GitHub Actions, GitLab CI)
• SonarQube
• InstallAnywhere
• Wildfly & Microsoft SQL Server
• Scripting (Bash, Python, Groovy)

There s also a bit of a what next? element to this role.

If you ve got experience (or interest) in Docker, Kubernetes, cloud platforms (AWS/Azure/GCP), or Infrastructure as Code, you ll have the chance to influence where things go next- particularly as the business looks at evolving its infrastructure.

This is one of those roles where you won t be buried in tickets all day.

You ll have the space to step back, look at the bigger picture, and improve systems properly- not just patch over cracks. If something s inefficient, you fix it. If something s missing, you build it.

You ll need to be someone who genuinely enjoys making systems better. Someone who spots problems before they become problems, and takes pride in clean, reliable, well-documented solutions.

It s a fully remote setup, flexible, and built around trust. No micromanagement, no unnecessary noise just a team focused on building solid software properly.

If you like the idea of owning the DevOps function and making a real impact across how software is delivered, this could be right up your street.

If this sounds like it was made for you, get in touch and let s have a chat about your next move.

This advert will self-destruct in 5, 4, 3, 2, 1

BOOM

We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.

Contract Azure Data Engineer

Location: UK (Remote)
Contract: Initial 3 months (Outside IR35)
Rate: Negotiable
Start Date: Immediate (Interview slots available)

Overview

We are currently seeking an experienced Azure Data Engineer to join a fast-paced project on a fully remote basis. This is an exciting opportunity to work on building and optimising scalable data platforms within a cloud-first environment.

Key Responsibilities

• Design, build, and maintain scalable data pipelines
• Develop and manage ETL processes across Azure data platforms
• Work with Azure Data Factory, Azure Data Lake, and Azure SQL
• Collaborate with stakeholders to integrate data from multiple sources
• Support data warehouse development and optimisation
• Implement best practices across data engineering and pipeline performance
• Contribute to CI/CD pipelines and deployment processes

Required Skills & Experience

• Strong experience with Azure Data Factory, Azure Data Lake, and Azure SQL
• Solid background in ETL development and data pipeline engineering
• Proficiency in Python and SQL
• Experience with Spark and Databricks
• Strong understanding of data warehousing concepts
• Experience building and maintaining scalable data architectures

Desirable Skills

• Experience with Azure Synapse
• Knowledge of CI/CD pipelines and DevOps practices
• Experience with data integration and orchestration across multiple systems

Additional Information

• Outside IR35
• Fully remote (UK-based candidates only)
• Immediate start available
• Fast interview process

• Aws Networking
• Infrastructure
• You are pioneering and innovative and want to be part of the cutting-edge and disruptive crypto currency world
• You are eager to learn new knowledge in both financial and technical fields
• You thrive in a non-hierarchical organization with a casual working environment
• You are flexible and dedicated

Team / Role

As a Platform Engineer, you will:

• Act as infrastructure SME for a 24x7x365 globally distributed ethical web scraping function, supporting a multi region high frequency operation
• Be able to proactively analyze, drive, and own, performance and process improvements along all parts of the chain
• Collaborate closely with development team in terms of architecture/prioritization
• Liaise closely and collaboratively with central infrastructure team, in terms of common infrastructure/improving standards across the estate
• Work effectively in a global multi-cloud set up, in terms of initiating/managing relationships, evaluation/onboarding of new providers, and improving internal processes in line with best-of-breed industry practices
• Be a Linux/network stack expert and utilise that knowledge in the context of tuning/optimization and production support
• Support the platform during business hours, and out-of-hours as part of a rota, and proactively chase ways to reduce/design out manual support overhead

Required skillset

• Bachelor’s degree in Computer Science, Software Engineering or a STEM subject from a recognised university
• Minimum 2 years of solid working experience in an infrastructure, DevOps, or Platform engineer role
• Production experience in a global cloud environment. Demonstrable AWS and strong networking experience in a multi-region and/or multi-cloud set up is essential.
• Demonstrable basic development or scripting experience in one or more of the following languages: Bash, Python, Java, C#, Rust, Excel VBA
• Solid Linux / network stack knowledge, as well as optimization/tuning

Nice to haves

• Containerization (Docker / Kubernetes) in a production environment
• Monitoring tools in a production environment (Prometheus / Grafana / ELK stack / Splunk)
• IaC tooling (Terraform, Ansible etc)

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

As a Senior Data Engineer within the Data Engineering team, you will play a key role in building, enhancing, and maintaining our enterprise data platform on Snowflake. You will develop and optimise scalable data pipelines and models that bring data from core business systems into Snowflake, enabling analytics, reporting, and data-driven insights across the organisation.

You will translate the data platform strategy into high-quality technical solutions, ensuring our Snowflake environment is reliable, well-structured, and performant. You will champion engineering best practices and contribute to standards that improve the quality, consistency, and usability of data assets.

Your work will ensure the business has access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and the foundations for advanced analytics and future AI/ML capabilities.

Key Accountabilities & Responsibilities

Snowflake Data Engineering Delivery
Design, build, and maintain high-quality data pipelines and models in Snowflake to support business analytics, BI, and operational reporting needs.

Data Architecture Implementation
Translate the defined data architecture and standards into implemented solutions including ingestion, transformation, storage, and performance optimisation.

Pipeline Development & Orchestration
Develop robust ELT/ETL pipelines using dbt and workflow/orchestration tools (e.g., Argo Workflows), ensuring reliability, maintainability, and adherence to engineering best practices.

Performance & Cost Optimisation
Implement Snowflake warehouse configurations and query optimisation techniques to ensure efficient usage and predictable cost.

Data Quality & Governance Execution
Apply data quality checks, lineage tracking, and security standards across the data estate. Ensure compliance with data policies, InfoSec controls, and regulatory requirements as required.

Tooling & Feature Adoption
Leverage Snowflake capabilities (Tasks, Streams, Snowpark, Time Travel, Secure Data Sharing) to improve automation, reduce manual effort, and enhance data accessibility across the business.

Collaboration & Support
Work closely with analysts, data consumers, and business stakeholders to support data product delivery, troubleshoot data issues, and enable effective usage of Snowflake datasets.

Enablement for Analytics & Data Science
Implement dimensional models that provide clean, well-structured, reusable datasets for reporting, scenario modelling, and emerging ML/AI use cases.

Monitoring, Reliability & Operations
Implement and maintain monitoring, alerting, logging, and cost-management processes for Snowflake and data pipelines to ensure a stable and well-maintained platform.

Continuous Improvement of Engineering Practices
Contribute to shared engineering standards to simplify development and accelerate delivery across the team.

Knowledge & Skills

• Proven experience in delivering cloud-based data engineering solutions, ideally with Snowflake.
• Strong hands-on proficiency with SQL, Python, and dbt for data transformations, modelling, and pipeline automation.
• Practical experience with Snowflake and RBAC management.
• Experience with data ingestion and replication tools such as Airbyte, Fivetran, Hevo, or similar.
• Working knowledge of cloud services (AWS preferred).
• Strong understanding of data modelling and data governance principles.
• Experience supporting BI/reporting tools (Power BI) and enabling them through well-designed Snowflake data models.
• Solid knowledge of CI/CD and version-controlled development practices in git.

Desirable

Enterprise System Familiarity
Exposure to CRM (Salesforce), BSS/OSS (Netadmin), Call Centre, Telephony, or similar enterprise data sources.

Data Migration Experience
Participation in migrating data platforms (e.g., PostgreSQL or other cloud RDBMS) into a data warehouse like Snowflake with minimal disruption and strong data validation controls.

Change & Adoption Support
Experience supporting business teams during platform transitions (e.g., training, documentation, user onboarding, issue resolution).

Best Practice Contribution
Experience contributing to naming conventions, schema standards, environment management, testing frameworks, and security patterns for data platforms.

Continuous Learning & Innovation
Interest in staying up to date with the latest technologies, modern data stack tooling, and best practices to contribute to ongoing platform evolution.

Infrastructure as Code

Exposure to Terraform would be advantageous.

Gigaclear is a growing Fibre Broadband (FTTP / FTTH) company, developing our fibre-to-the-premises broadband infrastructure to some of the most difficult to reach areas of the UK, empowering those communities with broadband to rival any city.

Role Overview

We are seeking an experienced Event Management Consultant to join the Hosting and Tooling Team, supporting both operational (RUN) and project-based activities. You will work closely with Consultants, Engineers, Analysts, and client stakeholders to design, implement, and optimise enterprise event management and monitoring solutions.

This role requires deep technical expertise across enterprise tooling platforms, strong analytical capability, and hands-on experience delivering scalable monitoring and automation solutions in complex environments.

Key Responsibilities

As an Event Management Consultant, you will:

• Engage directly with client teams, providing technical guidance, consultation, and operational support
• Design and implement event management policies for internal services and client distribution systems
• Perform high-level functional system analysis to support client operational and technical requirements
• Maintain and enhance operational tooling in alignment with service delivery objectives
• Contribute to project delivery activities, working closely with internal and external Project Managers
• Develop and maintain technical documentation, architectural diagrams, and support materials
• Build, configure, and maintain operational dashboards tailored to client requirements
• Support ongoing training, certification, and capability development within enterprise tooling environments
• Implement automation and integration solutions using scripting and APIs

Required Skills & Experience (Must Have - Top 3)

• BMC TrueSight Orchestration
• Splunk (advanced level)
• Event Management (enterprise scale environments)

Additional Skills & Experience

Enterprise Tooling & Monitoring

• Proven experience with enterprise monitoring and tooling platforms
• BMC TrueSight, BMC Discovery, and Splunk administration and engineering
• Agent deployment, configuration, and lifecycle management
• Product installation, configuration, and customisation

Monitoring & Observability Tools

• SNMP MIB management
• Experience with tools such as:

• Zabbix
• Nagios
• HP OpenView
• SolarWinds
• IBM Tivoli Monitoring
• IBM Tivoli Netcool

Operating Systems

• Experience across:

• Windows Server environments
• Linux (RHEL/Ubuntu)
• IBM AIX

Scripting & Automation

• Strong scripting capability in:

• Python
• PowerShell

• Experience developing automation scripts and system integrations
• REST API integration experience

Networking Knowledge

• Strong understanding of networking principles, protocols, and monitoring requirements

Splunk Expertise

• Advanced Splunk capability including:

• Splunk Query Language (SPL)
• Rule creation and complex correlation logic
• Dashboard development and visualisation
• Data modelling and search optimisation
• SQL experience for data analysis and integration

If this role is of interest, apply now or email me at (url removed)

Role: AWS Platform Engineer
Location: Remote, occasional travel to Manchester Office
12 Month FTC
Salary: 60,000 - 70,000 per annum pro rata

About the Role
As an AWS Platform Engineer, you will drive your workstream to completion. On productized engagements, you’ll handle the full delivery from technical design to handover, maintaining accountability to the client. In larger squads, you’ll own your workstream end-to-end, ensuring progress and delivery. Your work will be varied; one month, you might deploy a multi-account landing zone for a SaaS business, and the next, you could be building event-driven data pipelines for an enterprise modernisation programme.

About You
You are an AWS engineer experienced in client-facing consulting. You confidently make technical decisions, deliver production-ready infrastructure, and communicate effectively with clients and colleagues. You apply a systematic approach to debugging and write Infrastructure as Code (IaC) that is readable and modifiable. AI development tooling is integrated into your workflow.

Responsibilities

• Lead your workstream’s technical delivery or full engagement on streamlined deployments.
• Design and maintain AWS cloud infrastructure, including IaC, CI/CD pipelines, and containerized workloads.
• Conduct technical client calls and provide progress updates.
• Write structured IaC using Terraform and/or AWS CDK, reviewed through Pull Requests.
• Use AI development tooling as a standard workflow component.
• Manage incident response within your scope and produce post-incident reviews.
• Support less experienced engineers through PR reviews and knowledge sharing.
• Identify improvements and growth opportunities.

Skills & Experience

• Proficiency in AWS services.
• Experience with Terraform and/or AWS CDK, maintaining clean, modular code.
• Proficiency in building and maintaining CI/CD pipelines; skilled in Python or TypeScript.
• Knowledge of Kubernetes and EKS, with experience in containerized workloads.
• Understanding of AWS security, including IAM and network controls.
• Systematic debugging approach across network, compute, IAM, and application layers.
• Effective communication with clients and stakeholders.
• Experience managing workstreams in an agile, client-facing environment.

Qualifications
AWS Solutions Architect Associate, CKAD, or equivalent associate-level certification is required. In the absence of a certification, a Principal-led technical review can substitute. Useful but not essential: experience with AI development tooling, depth in Kubernetes, AWS professional certifications, or exposure to managed service environments.

We are seeking a detail-oriented and technically skilled AI & Data Process Intelligence Analyst with 3+ years of experience in automation and intelligent process improvement.

In this role, you will design, develop, and deploy AI-enabled automation solutions, leverage process mining techniques to identify optimisation opportunities, and apply data-driven insights to enhance operational efficiency across the business.

This position sits at the intersection of automation, data analysis, and applied machine learning. You will work closely with business stakeholders to deliver scalable and practical solutions.

Key Responsibilities

• Apply AI and automation techniques to streamline and improve operational processes.
• Develop dashboards and performance reports using Power BI to support data-driven decision making.
• Use prototyping and design tools (e.g. Google Gravity, Figma Make) to design, document, and optimise process workflows and automation solutions.
• Build and integrate machine learning models (e.g. classification, prediction, and optimisation) into automation workflows where appropriate.
• Analyse structured and unstructured data using Python and SQL to validate business problems and quantify potential process improvements.
• Collect, clean, and prepare operational data from multiple sources for analysis and modelling.
• Collaborate with business stakeholders to gather requirements and translate them into scalable automation and AI solutions.
• Monitor deployed automations and AI models to ensure ongoing performance, accuracy, and reliability.
• Document solutions, maintain governance standards, and adhere to best practices for automation lifecycle management.

Required Experience & Skills

• 3+ years of experience in automation engineering, intelligent process automation, AI/ML implementation, digital transformation, or a similar technical role.
• Strong proficiency in Python and SQL for data analysis and automation development.
• Hands-on experience with RPA and workflow automation tools (e.g. Power Automate, UiPath).
• Practical experience developing and deploying machine learning models in Python (e.g. scikit-learn, pandas).
• Experience working with APIs and integrating systems across business platforms.
• Strong analytical thinking and problem-solving skills with the ability to translate complex data into actionable insights.

In this developer role, you will:

• Provides senior-level system analysis, design, development, and implementation of applications and databases, including third-party product integration.
• Translates technical specifications into code for complex projects, writes programs, develops code, tests artifacts, and produces reports, ensuring automation support.
• Elevates code to development, test, and production environments on schedule, provides production support, and submits change control requests with documentation, including peer reviews.
• Understands software development methodology and architecture standards, trains and mentors less experienced staff, and resolves elevated issues.
• Participates in design, code, and test inspections throughout the life cycle, explains technical considerations at meetings, and performs systems analysis activities.
• Understands client business functions and technology needs, with a broad knowledge of Vanguard’s technologies, tools, and applications.
• Interfaces with cross-functional team members and communicates system issues at the appropriate technical level for each audience.
• Works with business-facing IT teams to deliver new solutions, reviews functional specifications, translates them into program specifications, liaises with end users for acceptance testing, and provides 3rd line support.
• Builds thought leadership and expertise in best-practice solution design and implementation.
• Manages time effectively across multiple projects with competing business demands and priorities.

What it takes:

• Experience in Test Driven Development and strong knowledge of Java (17 or higher), Spring Boot, Spring MVC, RESTFul API implementation, GraphQL, and open-source frameworks
• Experience in software development using cloud technologies (AWS preferred)
• Knowledge of build/deployment/testing/logging/monitoring tools and frameworks like Maven, Cucumber, Bamboo, GitHub, Claude Code/Bedrock and Splunk.
• Understanding of investment management domain with strong analytical, problem solving and communication skills.
• Ability to work well with both business managers and operations team, and ability to perform well under pressure, and deliver to tight deadlines.
• Knowledge of agile software development process/practices and familiarly with JIRA, Confluence, and other tools.
• Desirable - Knowledge and experience in Python programming, regulatory/transaction reporting domain knowledge.

Languages
Python & Java.AWS technologies
Lambda (Python 3.7 and above),
S3 buckets
Step functions
SNS/SQS
GraphQL
IAM Roles
CloudWatch/CloudTrail
CloudFormation
AppSync

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£80,000 - £100,000

Remote (UK-Based)

An opportunity for a highly technical Senior Data Engineer looking to join a fast-growing online gambling and sports betting platform that focuses on its first-in-class mobile app.

THE COMPANY

This future-ready online gambling and sports betting platform offers customers the best mobile app experience in the industry.

THE ROLE

As a Senior Data Engineer, you will sit within a high calibre data engineering team, owning and evolving core ETL pipelines that underpin the entire data platform. The focus is on building reliable, well-modelled data assets that can scale with the business.

Specifically, you can expect to be involved in the following:

• ETL pipelines for data ingestion and data modelling
• Using AWS to store and process data, with Snowflake as the data warehouse
• Use of Python and SQL
• Data orchestration and use of Terraform

SKILLS AND EXPERIENCE

The successful Senior Data Engineer will have the following skills and experience:

• Strong Python and SQL skills
• AWS or GCP (NOT Azure)
• Orchestration, ideally with Airflow or Dagsta but open to others
• Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks)
• Terraform

BENEFITS

The successful Senior Data Engineer will receive the following benefits:

• Salary between £80,000 - £100,000 - depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Senior DevOps Engineer (Azure / Terraform) £550–£650 per day | Outside IR35 | 6 Month Contract | Remote Overview An exciting opportunity has arisen for a Senior DevOps Engineer to join an established project delivering within a modern, cloud-first environment. You’ll be joining a lean, high-performing team, where DevOps is central to delivery not an afterthought. This role offers a high level of ownership, with the opportunity to shape infrastructure, improve reliability, and influence engineering best practices across the wider team. We’re looking for someone with deep Azure and Terraform expertise, who is comfortable operating in a hands-on capacity, while also mentoring others and driving improvements across CI/CD, observability, and security. Role & Responsibilities Design, build, and manage Azure infrastructure using Terraform, including modules, state management, and pipelines Develop and maintain CI/CD workflows (GitHub Actions, Azure DevOps or similar) Improve platform reliability, observability, and security across environments Take ownership of infrastructure and deployment processes within a fast-moving delivery team Collaborate closely with engineers to embed DevOps best practices and scalable patterns Mentor team members on infrastructure, automation, and platform engineering principles Identify and address performance bottlenecks, risks, and areas for improvement Contribute to a culture of continuous improvement and automation-first thinking Skills and Experience Experienced DevOps Engineer Strong hands-on experience with Terraform and Azure (AKS, networking, identity, storage) Solid experience building and managing CI/CD pipelines, ideally within Azure DevOps Strong scripting capability (Bash, Python, or PowerShell) Experience implementing monitoring and observability solutions (e.g. Prometheus, Grafana, Azure Monitor) Ability to operate in a hands-on role within a small or fast-paced team Strong communication skills and experience working collaboratively with engineering teams Desirable Azure certifications (AZ-400, AZ-104) Experience with policy-as-code (OPA, Sentinel) and secrets management

Job Description

Splunk Developer - Technical Lead (ITSI)

Role Summary

We are seeking an experienced Splunk Developer - Technical Lead with strong hands-on expertise in Splunk Enterprise, IT Service Intelligence (ITSI), and Observability. The role requires deep technical knowledge combined with design leadership, stakeholder engagement, and production responsibility across complex enterprise platforms.

The candidate will lead Splunk solution design, mentor junior developers, and work closely with operations, SRE, and application teams to deliver scalable monitoring, service health, and analytics solutions.

Key Responsibilities

Technical Leadership

• Act as Technical Lead for Splunk implementations across monitoring, observability, and service intelligence use cases.
• Own end-to-end Splunk solution design including data onboarding, data models, dashboards, alerts, and ITSI objects.
• Review and govern Splunk development standards, SPL performance, and configuration best practices.
• Provide technical guidance, mentoring, and code reviews for Splunk developers and support teams.

Splunk Core & ITSI

• Design and implement Splunk ITSI components including:

• Services & service hierarchies
• KPIs & thresholds
• Glass Tables
• Episode review and correlation search tuning

• Build service-centric monitoring aligned to business and application landscapes.
• Configure entity extraction, service templates, and adaptive thresholds.

Data Onboarding & Engineering

• Lead onboarding of diverse data sources:

• Application logs, infrastructure metrics, APM data, cloud logs, and security events

• Design and optimise:

• Indexing strategy
• Source types and field extractions
• Data models and CIM compliance

• Ensure SPL queries and dashboards are performant and scalable.

Dashboards, Alerts & Analytics

• Develop advanced dashboards using:

• Splunk Dashboard Studio/Classic dashboards

• Design meaningful alerts using:

• Correlation searches
• Risk-based alerting principles

• Translate operational and business requirements into actionable insights.

Observability & Production Support

• Integrate Splunk with enterprise observability tools (APM, infrastructure monitoring, cloud platforms).
• Support production incidents using Splunk, driving root-cause analysis and post-incident reviews.
• Improve alert quality by reducing noise and false positives.

Stakeholder & Delivery Engagement

• Collaborate with:

• SRE/Ops teams
• Application & platform teams
• Service Management & ITIL functions

• Translate monitoring requirements into scalable technical solutions.
• Participate in architecture discussions, audits, and compliance reviews.

Required Skills & Experience

Splunk Expertise

• Strong hands-on experience with Splunk Enterprise
• Proven experience with Splunk ITSI (mandatory):

• KPI design and service modelling
• Glass Tables
• Episode review & RCA workflows

Technical Skills

• Excellent command of SPL (Search Processing Language)
• Strong understanding of:

• Data models & CIM
• Index management and performance tuning

• Experience integrating Splunk with:

• Application, infrastructure, and cloud platforms

• Hands-on experience with alerting, correlation searches, and dashboards.

Leadership & Design

• Experience working as Technical Lead/Lead Developer
• Ability to own solution design and guide teams end-to-end
• Strong analytical and problem-solving skills.

Enterprise & Production Experience

• Experience working in large-scale enterprise environments (Banking/Financial Services preferred)
• Exposure to incident management, operational resilience, and ITIL processes
• Comfortable working in regulated and audit-driven environments.

Good to Have

• Splunk Observability (APM, Infrastructure Monitoring) exposure
• CI/CD integration for Splunk content (Git, Jenkins, DevOps pipelines)
• Cloud platforms (AWS/Azure/GCP) log and metric ingestion
• Splunk certifications (Power User, Admin, ITSI)
• Experience with automation and Scripting (Python, Shell).

Soft Skills

• Strong communication and stakeholder-handling skills
• Ability to explain complex technical concepts to non-technical audiences
• Ownership mindset and delivery focus
• Mentoring and team-building experience.

Role Level

• Senior Developer/Technical Lead (L3/L4 equivalent)