Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.

This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.

Skills required:

• Proficient in several of the following: Python, C#, C++, Java
• Mathematical Modelling
• Mathematical skills, particularly a keen understanding of probabilities and statistics
• Analytic mindset
• Strong communication skills
• Accuracy and attention to detail
• Experience in data science
• An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed)

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

White Collar Factory (95009), United Kingdom, London, LondonLead Data Scientist - Deep Learning Practitioner

About this role

Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners.

This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models.

What you’ll do

• Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation.
• Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production.
• Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates.
• Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
• Work cross-functionally on projects that support key business initiatives and drive sustainable growth.

What we’re looking for

• Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.
• A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team.
• Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices
• Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
• Familiarity with both pre-training and fine-tuning of large-scale models
• Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.
• A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
• A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value

We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates.

Where and how you’ll work
This is a permanent position based in our Nottingham or London office.

We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday.

Many of our associates have flexible working arrangements, and we’re open to talking about an arrangement that works for you.

What’s in it for you

• Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation
• We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)
• Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
• Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café

What you should know about how we recruit

We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.

We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:

• REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies
• OutFront – to provide LGBTQ+ support for all associates
• Mind Your Mind – signposting support and promoting positive mental wellbeing for all
• Women in Tech – promoting an inclusive environment in tech
• EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry

Capital One is committed to diversity in the workplace.

If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who We Are

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of  proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you’ll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we’re looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve.  We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront – to provide LGBTQ+ support for all associates Mind Your Mind – signposting support and promoting positive mental wellbeing for all Women in Tech – promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact   All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good

Responsibilities

• Research and analyse trading outcomes to assess effectiveness of execution strategies
• Build and refine quantitative models to improve algorithmic trading performance
• Implement elements of trading logic in Python and work closely with engineering teams
• Partner with clients to explain model behaviour, review performance and gather feedback
• Support clients in an execution consulting capacity to optimise use of trading products

Key Skills & Experience

• Strong quantitative mindset with passion for data and research
• Strong Python development skills (Java exposure beneficial but not core)
• Experience with electronic trading strategies and market microstructure
• Knowledge of European equities markets
• Exposure to distributed systems and large-scale data analysis desirable
• Excellent communication skills; able to work with global teams and clients
• High-frequency trading experience advantageous

Permanent role - Central London based - hybrid working

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.

Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Our Hedge Fund client is looking for a Python Developer/Engineer Contract role

This team is responsible for the firms equity transaction data platform, including trade life cycle event processing, enrichment, and PnL calculations. The role is ideal for an engineer who enjoys building robust, high-throughput services and data pipelines in a fast-paced, delivery-focused environment.

Principal Responsibilities
Design and develop solutions for trade life cycle event processing, including corporate actions, expiries, and other post-trade events.
Build and operate Python-based services that perform large-scale data transformations and calculations.
Publish and distribute transaction and PnL data using Kafka, including AVRO-based schemas and streaming patterns.

Required Skills
Minimum of 6+ years of professional Python development experience, ideally in capital markets or a fintech firm.
Experience in finance: understanding of common financial asset classes; knowledge of equities corporate action processing, trade life cycle concepts, and/or P&L calculations is a strong plus.
Experience with Kafka (or equivalent streaming/messaging platforms) and schema-based event publishing (eg, AVRO).
Strong experience performing large-scale data calculations in Python using libraries like pandas, polars, and NumPy.
Experience building REST services using frameworks such as FastAPI and/or Flask.
Strong SQL skills and experience working with relational databases in production environments.
Hands-on experience with containerized deployments and modern infrastructure tooling (Docker, Kubernetes) and familiarity with cloud platforms.
Understanding of modern SDLC practices (testing strategy, CI/CD, release management, observability, and operational ownership).

Office based, 5 days per week.
Based in London.

Contract role inside IR35

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.
Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Salary to £60k + Company Options Scheme

Preference for hybrid working between your home, their offices (London Vauxhall) & client sites however fully remote working may be considered for the ideal candidate.

NB: Please only apply if you already have UK Security Clearance (SC).

Overview

This company is a Workflow & AI Orchestration Specialist. They’re on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. Theyre growing fast and looking for bright, dynamic people to help build their business.

Role

Theyre looking for a (Security Cleared) Site Reliability Engineer (SRE) to join their growing platform and delivery teams. Youll help design, build, and operate reliable, secure, and performant infrastructure that underpins critical public-sector services.

Youll combine your background in DevOps, cloud engineering, and automation with a focus on reliability, observability, and scalability. Youll also work with event-driven technologies, identity and access management, and data platforms, ensuring our orchestration solutions are resilient, secure, and future-ready.

This is an exciting opportunity for an engineer who thrives on solving complex infrastructure and automation challenges, automating everything, and shaping secure-by-design delivery environments.

Key Responsibilities

Design, deploy, and manage containerized workloads using Kubernetes and Red Hat OpenShift

Provision and manage infrastructure using Terraform

Build and operate scalable infrastructure in Amazon Web Services (AWS)

Design, implement, and maintain robust CI/CD pipelines

Improve system reliability, observability, performance, and security

Implement monitoring, logging, and alerting solutions

Troubleshoot production incidents and perform root cause analysis

Collaborate with development teams to improve application resilience and deployment processes

Required Skills & Experience

Experience in Site Reliability Engineering, DevOps, or similar roles

Strong hands-on experience with Kubernetes and container orchestration

Experience working with Red Hat OpenShift in production environments

Proficiency in infrastructure as code using Terraform

Solid experience with Amazon Web Services (AWS)

Experience designing and maintaining CI/CD pipelines

NB: Please only apply if you already have UK Security Clearance (SC).

Other Stuff

NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status.If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years.

Profile 29 recruitment keywords: Site Reliability Engineer Site Reliability Engineering, DevOps Kubernetes container orchestration Red Hat OpenShift Terraform Amazon Web Services AWS CI/CD Bash Python monitoring observability cloud architecture London hybrid remote AI artificial intelligence security cleared security clearance SC

TPBN1_UKTJ

An opportunity has arisen for a Technical Solutions Engineer, based in Elstree, Hertfordshire to join a leading innovative communications provider for critical solutions.

As a Technical Solutions Engineer, based in Elstree, Hertfordshire you will specialise in research, design and testing of radio frequency-based products including low-band UHF technology (420-470 MHz) and two-way radio solutions. You will get the opportunity to be hands on with new software and hardware products to be operationally assessed tested and signed off for customer use in high end consumer environments such as superyachts and NYC skyscrapers.

The successful Technical Solutions Engineer, based in Elstree, Hertfordshire will have prior experience across

• Proven practical RF testing and occasional design across low-band UHF range.
• Good practical skills including soldering, fault-finding and the use of RF test equipment.
• Good knowledge of RF digital / analogue and power supply

The ideal Technical Solutions Engineer, based in Elstree, Hertfordshire

• Electronics Engineering or RF Engineering background
• Knowledge of RF-based technology such as paging & two-way radio is advantageous.
• Knowledge of IT hardware (routers)
• Programming languages for software applications (ideally C#, Java, Python).

In return you will receive a competitive package to reward your contribution and have the opportunity to gain professional and career development in an industry leader.

Apply Now, if this Technical Solutions Engineer, based in Elstree, Hertfordshire job sounds like the opportunity for you, click the APPLY NOW button, or alternatively call Tom Drew on 01582 878 848 or email quoting THD1368. Alternatively, if this job is not suitable but you are looking for a job within Sales, please call 01582 878 848 for a confidential discussion.

This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Role Summary:

We are seeking a skilled DevOps Engineer to collaborate with our development and operations teams to design, implement, and manage scalable infrastructure and deployment pipelines. The ideal candidate will have experience with cloud platforms, CI/CD processes, automation, and monitoring tools, with a strong emphasis on optimizing system performance and ensuring reliable, secure, and efficient deployments. You will work closely with cross-functional teams to build robust, scalable, and secure digital asset products that meet our business and technical requirements.

Role Description:

Design and Implement CI/CD Pipelines:  Develop, maintain, and optimize continuous integration and continuous deployment pipelines to streamline the development and release processes.

Infrastructure Management:  Manage and maintain cloud-based infrastructure on Azure Cloud Platform, including provisioning, configuration, and automation of resources.

Automation and Scripting:  Create and manage automation scripts for deployment, configuration, and monitoring using tools such as Ansible, Terraform, or Puppet.

Monitoring and Troubleshooting:  Implement monitoring solutions to ensure system health and performance. Troubleshoot and resolve issues related to applications, systems, and infrastructure.

Collaboration:  Work closely with development, QA, and operations teams to understand requirements, deliver solutions, and address technical challenges.

Security and Compliance:  Ensure best practices for security, compliance, and data protection across all systems and processes.

Documentation:  Create and maintain clear documentation for infrastructure, deployment processes, and best practices.

Performance Optimization:  Analyze system performance and implement improvements to enhance the efficiency and scalability of applications and infrastructure.

Core/Must have skills :

Proven track record of managing and deploying applications and infrastructure.

Cloud Platforms:  Proficiency in Azure cloud services.

CI/CD Tools:  Experience with Harness, GitLab CI, GitHub Actions, or similar tools.

Configuration Management:  Knowledge of tools such as Ansible, Chef, Puppet, or SaltStack.

Infrastructure as Code:  Experience with Terraform, CloudFormation, or similar tools.

Scripting Languages: Proficiency in scripting languages like Bash, Python, or Ruby.

Containers and Orchestration:  Familiarity with Docker, Kubernetes, or OpenShift.

Version Control Systems:  Experience with Git or other version control systems.

Monitoring and Logging:  Knowledge of monitoring tools like Prometheus, Grafana, ELK Stack, or similar.

Ability to work independently and manage multiple tasks or projects.

Good to have skills

Certifications:  Cloud certifications (AWS Certified DevOps Engineer, Azure DevOps Solutions Expert, etc.) are a plus.

Additional Experience:  Experience with microservices architecture and API management.

About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

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The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality.

Key Responsibilities

• Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards.
• Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services.
• Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation.
• Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments.
• Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components.
• Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements.
• Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs.

Knowledge, Skills & Experience

• Degree in Computer Science, Data Engineering, or a related field.
• Proven experience designing and building cloud-based data platforms, ideally within Azure.
• Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory.
• Solid understanding of Data Lakehouse architecture and modern data platform design.
• Proficiency in Python for data engineering, automation, and data processing.
• Experience developing and integrating REST APIs for data services.
• Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms.
• Experience with Infrastructure as Code tools such as Terraform or ARM templates.
• Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts.
• Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor).

Desirable

• Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps).
• Knowledge of cloud cost optimisation for data platforms.
• Understanding of data governance and regulatory compliance (eg, GDPR).
• Experience working in regulated or professional services environments.

Our Global Enterprise client is looking for a VMware Specialist Engineer to join the team who has strong VMware Cloud Foundation 5 skills and experience.

Start Date: ASAP
Duration: 120 days (initially)
Pay Rate: £466 p/d (PLEASE NOTE: Employer NI is paid for by the client)
Total Daily Earnings: £530 p/d (includes rolled up holiday)
IR35 Status: Inside
Location: Hatfield

This role will see you join a team deploying VMware solutions and develop further customisations of customers VCF deployments to maximise the use of the VCF9 features including upgrades to VCF9.

Technical Skills:

• The candidate would ideally be preparing for the VCF9 release certification - and the candidate will ideally hold the VCP-VCF certification.
• VCF 9 Certification - If you do not have this, training will be available and the client will pay for your exam.
• VMware specialisations are also preferred with vRealize Automation (Aria Automation) vRealize Operations (Aria Operations) skills being in demand.
• Automation skills including powershell, python, JavaScript will be beneficial in completing automation projects.
• Candidates to have either VRealize Network insights - known as VRNI OR VMware SRM OR VMware HCX.

Soft Skills:

• A strong desire to help others by sharing knowledge, peer reviewing, and contributing to technical and process standards.
• Work well within a team, report issues and risks, take part in team meetings, share ideas and work towards improving our service.
• Excellent written & verbal communication with customers to understand and to influence.

To apply for this VMWare Engineer contract job, please click the button below and submit your latest CV.

Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience.

Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.

My leading Tech firm client are looking for a talented and motivated individual to help lead their AI Engineering efforts as they embark on bringing a brand new product to the market.

You’ll define architecture, influence roadmaps, and lead teams delivering production-grade systems, not just experimental models. You’ll mentor engineers, establish strong workable practices, and ensure AI solutions are scalable, ethical, and reliable during peak live events.

This is a newly created role in a rapidly growing business. An amazing opportunity!

The following skills/experience is essential:

• Strong AI background
• Worked with large language models and AI agents
• Python
• Previously managed developers
• Excellent communication skills

Salary: Up to £110,000 + bonus + package

Location: London (good work from home options available)

If you are interested in this AI Engineering Manager position and meet the above requirements please apply immediately.

Founding Engineer (EnergyTech / AI)

London Hybrid (3 days onsite) 70k- 120k + Equity

A venture-backed EnergyTech start-up is building a new type of power company designed for the electrified future.

As renewable energy adoption accelerates, the challenge is no longer just generating power, but storing, managing, and intelligently dispatching it. This team is developing software that sits at the centre of that transition, enabling a new generation of energy suppliers built around flexibility, storage, and intelligent automation.

Backed by leading investors and founded by operators with experience from some of the most respected names in the European energy ecosystem, the business has already launched its first product and is growing rapidly month-on-month. The next phase is building the core technology platform that will power a fully integrated energy supplier launching later this year.

This is an opportunity to join a small, highly capable engineering team building core infrastructure for a next-generation energy platform.

The Role

You will work across the full product stack, helping design and build the systems that power both the customer experience and the operational backbone of the platform.

Engineers here take ownership of problems end-to-end, from shaping early ideas through to delivering production features used by customers.

Responsibilities include:

• Building full-stack product features across web, backend services and data systems
• Designing APIs and integrating with hardware and energy data platforms
• Developing AI-enabled capabilities, including LLM-powered workflows and operational tooling
• Contributing to core supplier infrastructure such as billing systems, operational tooling, and internal platforms
• Working closely with founders and customers to shape the product direction

Tech Stack

• Frontend: React, React Native, TypeScript
• Backend: Python, FastAPI, PostgreSQL
• Infrastructure: GCP, Terraform, Airflow
• AI: LLM integrations and AI-driven automation

What They’re Looking For

• Experience as a Full-Stack Engineer building production systems
• Strong engineering fundamentals and the ability to work across backend and frontend systems
• Comfort operating in a fast-moving start-up environment where priorities evolve quickly
• A proactive mindset with a bias towards ownership and solutions
• Interest in the energy transition or climate technology is a strong plus

Engineers who thrive here tend to enjoy working close to the problem, communicating clearly across technical and non-technical teams, and taking initiative rather than waiting for direction.

Package

• 70k- 120k salary depending on experience
• Meaningful equity
• Private health insurance
• Meal allowance and team dinners
• Hybrid working (London office 3 days per week)

Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week. We are seeking Engineers skilled in python with a strong focus on GenAI AI and LLMs to lead the integration of cutting-edge language technologies into real-world applications. If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you! We’re looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document summarisation, Q&A, content generation. To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise dataMLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards A/B Testing: Experience evaluating GenAI features in production environments Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Job Description

We are looking for a Senior hands-on Data Engineer for Cloud Data Lake design and development. The candidate should have Financial Services experience in design, architecture and development of large scale enterprise applications using Cloud based Data engineering platforms. This hands-on role will partner with senior-level development managers, architects and business leadership to develop and execute the technology product roadmap.

Main Duties and Responsibilities:

• End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.

• Build data integrations, hand-offs between on-prem/cloud-based systems.

• Design and develop high volume data ingestion components and solutions to collect data from various sources.

• Manage and use appropriate tools in the cloud data lake development and deployment.

• Responsible for developing/implementing cloud infrastructure to support current and future business needs.

• Participating in technical design, application build, configuration, unit testing, and production deployment.

• Ensuring all cloud solutions exhibit higher level of cost efficiency, performance, security, scalability, and reliability

Required Skills:

• Development experience in designing, developing and deploying complex applications.

• Strong tech skillset/experience in PL/SQL, Java/J2EE, Python, Scala, PERL/scripting .

• Hands on experience with Cloud platforms, preferably using Databricks.

• Experience in building systems using modern, scalable, resilient, cloud native architectures.

• Experience in Data Modeling and database design with strong skills in performance tuning.

• Hands on experience in setting up data pipelines for ELT jobs across multiple data sources.

• Hands on experience in big-data processing, troubleshooting and resolving database performance issues.

• Strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles & Polices, Security Groups and Encryption keys.

• Experience with optimizing database performance, scalability, ensuring data security and compliance.

• Experience with event based, micro-batch and batched high volume and high velocity transaction and data processing system.

• Proficiency with CICD and DevOps.

Education & Qualifications

Bachelor’s/Master’s Degree in a Computer Science, Engineering or Math or equivalent experience

10+ years’ experience in professional software design and development.

Strong analytical skills, with ability to collect, absorb, and analyze information quickly and independently

Proven ability to develop and work with cross functional processes and project timelines

Excellent follow-through, attention to detail and time management skills

About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

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C++ Engineer Certain Advantage are hiring for a C++ Engineer based in London. This role is on an initial contract till the end of the year and is hybrid. The company We’re working with an organisation that operates globally, helping power homes, transport, and industries with the energy they depend on every day. The role: Implement solutions using the provided exchange SDKs in different languages such as C++, Rust, Python, Typescript Write software that communicates with exchanges through their APIs, receiving market data and sending orders over the network in different protocols, such as FIX, Websocket or HTTP requests Optimize exchange communication through kernel bypass, optimizing TLS or the connection handling to an exchange Implement trading algorithms based on requirements provided by traders and quants Acquire and develop the necessary trading knowledge to successfully translate the requirements into actual software implementation Continuously improve the stability, reliability, and performance of the trading engine Enhance monitoring and observability in collaboration with the Trading Operations team The individual: C++ software development experience within the financial industry Solid understanding of parallel, asynchronous, and multithreaded programming to build distributed systems Good knowledge of algorithms and data structures Understanding of trading lifecycle, including order capture & execution, allocation workflow, settlement, and compliance requirements Must have strong technical skills in scripting, Python, C#, SQL or other programming languages Proactive system monitoring and troubleshooting, owning reliability improvements and ensuring their successful delivery Does this sound like your next career move? Apply today. Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

The role requires close collaboration within an agile software environment, applying strong technical expertise and domain knowledge while communicating effectively with a broad range of internal and external stakeholders. Depending on individual strengths and experience, the role may focus on either modern user interface design and implementation or embedded software development.

For candidates with leadership or line management experience, the position may also include responsibility for managing and supporting team members, reporting on performance, and assisting with resourcing and development.

Responsibilities:

• Producing detailed designs for product software components
• Implementing and testing software as part of an agile development team
• Developing a strong understanding of existing electronic warfare, sensor, and communications products, as well as future development plans
• Contributing to system architecture and continuous improvement initiatives

Candidates should demonstrate:

• A BEng/BSc and/or Master’s degree in Engineering, Computer Science, Information Systems, or a related discipline
• Knowledge of sensor and communication systems
• Experience across the full software development lifecycle, from research and concept through to product delivery
• Understanding of modern software architecture practices
• Experience with scientific or signal processing applications, including algorithm development
• Proficiency in multiple programming languages, such as C++, C#, and Python, with the ability to switch between them effectively
• Familiarity with agile development methodologies, including Scrum and Kanban
• Experience using modern development tools, including Git, GitLab, and Visual Studio Code

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.

Job Specification: Data Scientist – Pricing Modelling Overview We are seeking a highly skilled Data Scientist with proven experience in pricing modelling within the sports industry. The ideal candidate will be responsible for building, optimising, and deploying data-driven pricing models that help maximise revenue, improve forecasting accuracy, and support strategic commercial decisions. This role will work closely with commercial, product, finance, and analytics teams to deliver impactful insight and pricing recommendations. Key Responsibilities Pricing Modelling & Analytics - Develop, own, and optimise dynamic pricing models across sports products (tickets, memberships, hospitality, broadcasting, merchandise, or gaming—depending on organisation). - Build predictive models for demand forecasting, elasticity analysis, and customer behaviour. - Run simulations and scenario modelling to guide pricing strategy. - Maintain model accuracy through performance monitoring, retraining, and back-testing. Data Science & Engineering - Work with large datasets from multiple sources including ticketing systems, CRM data, sales systems, attendance data, and third-party partners. - Build robust data pipelines and ensure high data quality and reproducibility. - Deploy models into production environments (e.g., via APIs, automated workflows, or BI tools). Insight & Strategy - Translate modelling outputs into clear commercial recommendations for non-technical stakeholders. - Present findings to senior leadership, supporting decision-making with evidence-based insight. - Collaborate with marketing and commercial teams to understand demand drivers and pricing levers. - Evaluate the impact of pricing changes and provide post-event analysis. Innovation - Explore new modelling techniques such as reinforcement learning, dynamic optimisation, or real-time price adjustment. - Stay current with trends in sports analytics, pricing science, machine learning, and demand forecasting. Required Skills & Experience - 3+ years in data science, analytics, or econometrics roles (pricing strongly preferred). - Strong experience with pricing models, demand forecasting, price elasticity, or dynamic pricing algorithms. - Proficiency in Python (Pandas, NumPy, Scikit-Learn; bonus: PyTorch/TF). - Experience using SQL and working with relational databases or cloud data warehouses. - Solid statistical knowledge: regression modelling, time series forecasting, Bayesian methods, optimisation techniques. - Experience deploying models to production (e.g., Docker, cloud platforms, CI/CD pipelines). - Ability to design and interpret A/B tests or controlled experiments. - Excellent stakeholder communication skills, especially with commercial teams. Desirable Skills - Experience in the sports industry (ticketing, memberships, fan behaviour, sports betting, E-commerce). - Familiarity with sports-specific datasets or pricing environments. - Knowledge of BI tools (e.g., Looker, Power BI, Tableau). - Understanding of revenue management principles (yield management, inventory controls). - Background in applied mathematics, economics, statistics, or a related field. Personal Attributes - Commercially minded with a passion for applying data science to real business problems. - High attention to detail with strong analytical rigour. - Able to manage multiple projects and work in fast-paced environments. - Curious, proactive, and comfortable challenging assumptions with data. What We Offer - Opportunity to shape a cutting-edge pricing strategy in a high-growth sports environment. - Close collaboration with data engineers, analysts, commercial teams, and leadership. - A culture that values experimentation, innovation, and data-driven decision making. - Professional development opportunities across data science, engineering, and sports analytics.

DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities - Proactive approach with team members and clients - Continuous improvement of core AI services - Take ownership of the services within your expertise - Contribute to the ongoing innovation R&D projects - Implement and maintain ML Infrastructure - Requirements - Degree in relevant field with 3+ years of industry experience - Strong Technical Skills: Python, Production APIs, Infrastructure as Code, - AWS or other Cloud provider - Deep understanding of Natural Language Processing / Generative AI / - Image Recognition - Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. - Experience with MLOps - Excellent organisation skills, working independently and ability to deliver results for deadlines. - A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively. - Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences. - Experience in ecommerce space Benefits - Competitive Salary - Generous vacation time (25 days of annual leave) - Yearly "Reset Week" in addition to annual leave allowance - Freedom to experiment with your own ideas - Environment to develop your skills without bureaucracy or red tape - Monthly fitness stipend of $210 or fully paid Third Space Membership We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Permanent | Hybrid Working | South East England We are partnering with a leading organisation operating in a complex, real-time operational environment to recruit a Technical Lead within its Integrated Operations and Planning technology domain. This role sits at the heart of mission-critical systems that power operational planning and real-time control functions. The product suite underpins essential processes such as workforce planning, scheduling, disruption management and integrated control operations. You will shape the technical direction of these platforms, ensuring solutions are scalable, resilient and future-ready. Working closely with Product and Delivery leadership, you will balance business priorities with sound engineering decisions to deliver measurable operational value. Role Purpose - Provide technical leadership for a product team, ensuring solutions are scalable, secure and fit for purpose - Act as the technical authority across product, delivery and engineering collaboration - Guide and mentor engineers, promoting sustainable engineering practices across the full product lifecycle - Balance short-term delivery objectives with long-term maintainability, resilience and cost-effectiveness Key Responsibilities - Provide hands-on leadership, setting coding standards and reviewing designs to ensure best practice in security, performance and integration - Define and own technical architecture across operational planning and control products - Partner with Product Managers to translate business requirements into technical designs, effort estimates and roadmaps - Work with Delivery Leads to align technical feasibility with delivery timelines, identifying risks and dependencies early - Champion modern engineering practices including CI/CD, cloud-native design, API-first development and automated testing - Collaborate with enterprise architecture and governance forums to ensure alignment with broader technology strategy and standards - Act as a trusted advisor to operational stakeholders, clearly articulating technical trade-offs and outcomes - Mentor and develop engineers, fostering a high-performing, continuously improving team culture - Lead root cause analysis and resolution of critical production issues impacting live operations Experience & Skills Required - Proven experience as a Technical Lead or Principal Engineer within large-scale, mission-critical systems - Strong software engineering background with expertise in at least one major development stack (e.g. Java, .NET, Python or optimisation tooling) - Experience designing and delivering cloud-native solutions (AWS preferred), with strong knowledge of APIs, event-driven architecture and microservices - Familiarity with operational planning, scheduling or real-time control systems within transport or similarly complex environments (desirable) - Strong understanding of DevOps practices including CI/CD pipelines, automated testing and observability - Experience working within Agile delivery environments and shaping effective team ways of working - Strong analytical and problem-solving skills, with the ability to balance time, cost and technical debt considerations - Ability to influence stakeholders at all levels, translating technical concepts into clear business value - Demonstrated experience mentoring engineers and building high-performing teams - Degree in Computer Science, Software Engineering or equivalent practical experience

Permanent | Hybrid Working | South East England We are partnering with a fast-paced, customer-focused organisation undertaking a significant data transformation programme. With major investment in a modern lakehouse platform and access to rich, high-volume datasets, this is an opportunity to help reshape how data is stored, analysed and leveraged across the business. As a Senior Platform Data Engineer, you will provide technical leadership within the Data Engineering team, working closely with Data Scientists, Machine Learning Engineers and business stakeholders to deliver scalable, high-value data solutions. Key Responsibilities - Design and build robust, scalable data pipelines to serve analytics and data science communities - Provide hands-on expertise across modern data engineering technologies (e.g. Databricks, Spark, Python, SQL, Scala) - Collaborate with data scientists and ML engineers to develop and deploy machine learning models addressing key business challenges - Coach and mentor engineers (including contractors), raising development standards and engineering maturity - Partner with Business Analysts to translate requirements into measurable business outcomes - Oversee code quality and project deliverables across releases - Establish and maintain documentation libraries and data catalogues for developed products - Contribute to platform evolution and continuous improvement of data engineering practices Core Skills & Experience Technical Capability - Significant experience designing and delivering data solutions on cloud-based, distributed big data platforms - Strong hands-on software engineering experience in Python, with knowledge of modern development practices (TDD, CI/CD, automated deployment pipelines) - Experience with automated testing of data transformation pipelines (e.g. Pytest, dbt unit testing frameworks) - Strong SQL skills, including performance tuning and debugging - Experience in data warehouse optimisation (schema evolution, indexing, partitioning) - Infrastructure as Code experience (e.g. Terraform or CloudFormation) - Strong knowledge of distributed data processing frameworks such as Apache Spark (or similar technologies such as Flink, Hadoop or Beam) - Familiarity with lakehouse architecture principles and modern data platforms - Experience implementing data quality, lineage and observability frameworks - Understanding of data governance, security and privacy principles, including handling of sensitive data within regulated environments Engineering & Collaboration - Comfortable working independently while aligning with overarching data strategy - Strong communication skills across technical and non-technical audiences - Structured, analytical problem-solver with a focus on outcomes and innovation - Passionate about modern data technologies and continuous learning Desirable Experience - Experience building real-time or event-driven data pipelines in commercial production environments (e.g. streaming architectures, Kafka, Spark Streaming, Beam) - Understanding of unbounded data processing and streaming design patterns - Familiarity with machine learning workflows and model lifecycle considerations - Experience supporting analytical visualisation tools (e.g. Tableau, Power BI or similar platforms) - Experience working within airline, ecommerce, retail or similarly data-rich industries - Experience within AWS cloud environments - Experience building transformation frameworks using dbt