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head of client services

NTT DATA

<div>We&rsquo;re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women&rsquo;s Business Network, Cultural and Ethnicity Network, LGBTQ+ &amp; Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA
Primary Responsibilities:
<ul><li>Client Engagement &amp; Delivery
</li><li>Data Pipeline Development (Batch and Streaming)
</li><li>Snowflake &amp; Cloud Data Platforms
</li><li>Data Architecture &amp; Modelling
</li><li>Collaboration &amp; Best Practices
</li><li>Quality, Governance &amp; Security 
</li></ul>Business Relationships:
<ul><li>Solution Architects
</li><li>Data Engineers, Developers, ML Engineers and Analysts
</li><li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
</li></ul>Competencies / Critical Skills: 

<ul><li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
</li><li>Strong consulting values with ability to collaborate effectively in client-facing environments.
</li><li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
</li><li>Strong problem-solving, analytical, and communication skills.
</li><li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions. 
</li></ul>Technical Expertise:
<ul><li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
</li><li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
</li><li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
</li><li>Hands-on experience with cloud platforms (AWS, Azure, GCP).
</li><li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
</li><li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
</li><li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
</li><li>Understanding of data governance, security, and compliance frameworks.
</li><li>Exposure to AI/ML workloads desirable. 
</li></ul>Experience, Qualifications, and Education:
<ul><li>Experience: Minimum 5&ndash;8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
</li><li>Education: University degree required.
</li><li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
</li><li>Snowflake certifications (SnowPro Core, Advanced) highly desirable. 
</li></ul>Measures of Success:
<ul><li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
</li><li>High client satisfaction and successful adoption of Snowflake-based solutions.
</li><li>Demonstrated ability to innovate and improve data engineering practices.
</li><li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.
</li></ul>We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data &amp; AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients. 
 
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.</div>

Snowflake Data Engineer

Gather Technology Ltd

Location: London Hours: 40 per week Salary: &pound;35,000&ndash;&pound;40,000 (depending on experience) Type: Full-time, permanentBenefits:<ul><li>22 days&rsquo; annual leave + bank holidays (increases with service)</li><li>Pension scheme</li><li>Private health insurance (after qualifying period)</li><li>Funded professional training and certifications</li><li>Regular company socials and team events</li><li>Certified Great Place to Work employer</li></ul>Why this role mattersWe exist to deliver exceptional IT services to ambitious businesses who depend on technology to accomplish their mission. We offer IT Support, infrastructure projects, software development, and cyber security.We're looking for an Onsite IT Engineer to join our team, working full-time from one of our client offices in Central London.As a Gather employee, you'll be based onsite providing day-to-day IT support alongside our existing London engineering team. This role is ideal for someone who enjoys a hands-on support environment, building relationships with end users, and working across a variety of technologies in a fast-paced MSP setting.You&rsquo;ll be part of Gather&rsquo;s wider technical team, with clear escalation paths, shared tooling, and ongoing support. You&rsquo;ll also contribute to supporting other Gather clients remotely and occasionally onsite.The role involves resolving day-to-day technical issues, delivering high-quality IT support across desktop, server, and cloud environments, and contributing to improvements that keep systems stable, secure, and well maintained.This role would suit an in-house IT engineer looking to move into a more fast-moving MSP environment, while still enjoying the structure and relationships that come from being physically based at a client.Key responsibilities<ul><li>Act as one of Gather&rsquo;s onsite contacts in London</li><li>Provide first and second line support via phone, email, remote tools, and in person</li><li>Troubleshoot issues across Microsoft 365, Windows desktop/server environments, networking, and cloud services</li><li>Escalate complex issues appropriately while maintaining ownership and clear communication</li><li>Deliver excellent customer service: clear, friendly, and proactive</li><li>Assist with onboarding, device deployment, and user setup</li><li>Support project work such as migrations, upgrades, and documentation</li><li>Identify recurring issues and suggest improvements or automation</li><li>Maintain accurate records in our service management systems</li></ul>Skills &amp; attributes<ul><li>Strong foundation in Microsoft 365, Windows 10/11, and basic networking.</li><li>Curious, methodical problem-solver who looks for root causes</li><li>Confident communicator who can explain technical issues clearly</li><li>Organised, dependable, and comfortable owning tasks end to end</li><li>Friendly, approachable, and professional with users</li><li>Keen to learn, develop, and take on more responsibility over time</li></ul>Experience<ul><li>Minimum 2 years&rsquo; experience in an IT support role (MSP experience desirable)</li><li>Experience supporting end users in a professional environment</li><li>Familiar with ticketing systems, RMM tools, and documentation platforms.</li><li>Exposure to Active Directory, Exchange/365 administration, and basic networking (DNS, DHCP, VPNs, firewalls).</li><li>Relevant certifications are a plus, or willingness to work towards them with our support</li></ul>About Gather Technology<ul><li>Founded in 2017</li><li>17 employees</li><li>~&pound;2m annual revenue</li><li>Head office: Yeovil, Somerset</li><li>Remote offices: London and Aylesbury</li></ul>Our Vision:<ul><li>Our customers will be our best salespeople.</li><li>Our employees will be our best recruiters.</li><li>We will be an award-winning employer and a truly great place to work.</li><li>We will attract and retain smart, motivated, and ambitious people.</li><li>We will grow our monthly recurring revenue by 20% annually.</li></ul>Ready to apply?If you enjoy solving problems, helping people, and want to grow your skills as part of a supportive, ambitious MSP team, we&rsquo;d love to hear from you.Job Types: Full-time, PermanentPay: &pound;35,000.00-&pound;40,000.00 per yearBenefits:<ul><li>Company pension</li><li>Cycle to work scheme</li><li>Private dental insurance</li><li>Private medical insurance</li><li>Sick pay</li></ul>Experience:<ul><li>IT Support: 2 years (required)</li></ul>Language:<ul><li>English (required)</li></ul>Work authorisation:<ul><li>United Kingdom (required)</li></ul>Work Location: In person

Onsite IT Engineer

Hiscox

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Reporting to: Re &amp; ILS Head of Data
 
 
 
 
 Location:
 
 London
 
 
 Type: Permanent
 
 
 
 Role Overview
 
 
 
 The Lead Data Scientist is a crucial member of the
 
 extended
 
 RE&amp;ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
 
 Data Science and Machine Learning
 
 chapter.
 
 
 This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions).
 
 
 You will co-lead the new Data Science chapter with the RE&amp;ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&amp;ILS strategic Value Streams. Whilst the chapter grows, you are expected to be
 
 hands-on
 
 actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.
 
 
 Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
 
 Group AI Governance Framework
 
 and maintains rigorous data governance standards. You will be accountable of this adherence.
 
 
 This is likely to be your first managerial role and the first time you have had one or more direct reports &ndash; having previously been a Senior Data Scientist or Machine Learning Engineer yourself. In this role you will be responsible for the management of a 1 to 4 junior and mid-level Hiscox FTEs and Partner resources too. You will be expected to support the Head of Data with attracting and retaining the best talent; helping to manage their career progression and ensure they are highly engaged, find the work fulfilling, and have the ability to rapidly deliver value to the business. As this is likely to be your first managerial role you will be supported and guided by other Data Leaders &ndash; Head of Data and the Hiscox Group Head of Data Science as well.
 
 
 
 About Hiscox Re &amp; ILS
 
 
 
 Hiscox Re &amp; ILS is located in
 
 Bermuda and London
 
 and underwrites reinsurance risks from around the world on behalf of our own and other people&rsquo;s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems. We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Chapter Leadership &amp; Talent Management
 </li>
 <li>
 People Management: Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Inspire chapter members to be curious, embrace new ideas, and nurture psychological safety to help build a high-performance culture.
 </li>
 <li>
 In this role you will manage at least one to two Hiscox data scientists and some partner resources too. You will be expected to manage their performance with relevant PDRs and help to calibrate their overall performance ratings with other people managers in the team. You will work with the Head of Data and Group Head of Data Science to help tailor the training needs to suit each individual and ensure they have the opportunity to grow and progress in their chosen career paths.
 </li>
 <li>
 Culture &amp; Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members.
 </li>
 <li>
 Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice.
 </li>
 <li>
 Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn &ndash; especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value.
 </li>
 <li>
 Solution Delivery &amp; ML Ops Excellence
 </li>
 <li>
 Hands-On Architecture: Get hands-on to help architect, design, and build complex models that integrate into existing IT solutions to improve data-driven decision-making throughout the Reinsurance Value Chain. Ensure you and your chapter members work closely with Platform Engineers and Architects to create the most optimal and safe solutions.
 </li>
 <li>
 ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. This includes embedding a rigorous model evaluation process, ensuring consistent model refresh/rebuild capabilities due to model or data drift, and implementing effective monitoring and alerts against rogue behaviour.
 </li>
 <li>
 Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Understand when to move on and fail fast &ndash; as a lot of AI use cases will be highly experimental in nature with no guarantees of success.
 </li>
 <li>
 Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models.
 </li>
 <li>
 Strategy, Governance &amp; Innovation
 </li>
 <li>
 Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains.
 </li>
 <li>
 Governance &amp; Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work.
 </li>
 <li>
 Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&amp;D to deliver reliable insights and potential next steps quickly.
 </li>
 <li>
 Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership.
 
 
 
 </li>
 </ul>
 
 Required Experience And Structure
 
 
 
 <ul>
 <li>
 Reporting: Reports into the RE&amp;ILS Head of Data with a dotted line into the new Group Head of Data Science.
 </li>
 <li>
 Direct Reports: Direct line management for Data Scientists and Machine Learning Engineers within the RE&amp;ILS Data Science Chapter.
 </li>
 <li>
 Key Partners: RE&amp;ILS CTO, Group Head of Data Science, RE&amp;ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft).
 
 
 
 </li>
 </ul>
 
 Candidate Profile
 
 
 
 The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards. You will have a strong determination and resilience and not fear failure or the inevitable setbacks often found in highly experimental work.
 
 
 
 Main Experience Required Is
 
 
 
 <ul>
 <li>
 Deep Interest in Leadership: As an experienced data scientist or machine learning engineer, has previously demonstrated excellent traits in mentoring and coaching more junior team members and has been happy to invest in them - clearly demonstrating they care about other peoples&rsquo; career progression. Also you can evidence some successful business outcomes that you personally drove forward using advanced Data Science/AI &ndash; as this most likely is your first leadership role.
 </li>
 <li>
 Technical Depth: Extensive "hands-on" experience in architecting, designing, and building complex ML models, with a strong understanding of cloud services and the AI/ML/LLM ecosystem.
 </li>
 <li>
 ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models, including establishing effective monitoring, evaluation, and refresh processes.
 </li>
 <li>
 AI and Data Governance: Mature understanding of AI and Data governance - data obfuscation &amp; data privacy laws, data version control, data lineage, and the application of AI governance frameworks in a regulated environment.
 </li>
 <li>
 Stakeholder Management: Experience in managing and driving collaboration with business unit leaders (Underwriters, pricing teams, MI team) and external technology partners like Google Cloud, Snowflake, DataIku and Microsoft.
 </li>
 <li>
 Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.
 </li>
 <li>
 Capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.
 </li>
 <li>
 Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.
 </li>
 <li>
 Real world experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), AI Agents and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.
 </li>
 <li>
 Demonstrate a Solid understanding of foundational statistics and experimental design. Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.
 </li>
 <li>
 Ability to translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.
 </li>
 <li>
 Ability to elevate the technical maturity and capabilities of the data science chapter by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.
 </li>
 <li>
 Educator: shown the ability to train and coach more junior and mid-level team members - ensuring they have excellent career progression and become high performers.
 
 
 
 </li>
 </ul>
 If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re &amp; ILS. Join our team and be a catalyst for AI adoption in a dynamic, forward-thinking organization.
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Lead Data Scientist

Quantspark

<div>Title: Engineering Manager 
Reporting to: Head of Engineering 
Office Environment: Hybrid, Central London Office 
Type: Full time, Permanent<h2 class="jobSectionHeader"> 
About QuantSpark</h2>
QuantSpark is an award-winning AI and data consultancy, but we don't just advise, we build. We help businesses in the UK and beyond, as well as governments, apply data, analytics and AI for measurable human and societal benefit, not just profit. This means tackling real-world challenges, innovating at scale, and forging solutions that deliver real impact to our clients.
Our culture is built on meritocracy of ideas, where the best thinking wins regardless of seniority, a place where intelligent failure is treated as something to learning form, and where we seriously invest in people with opportunities for career acceleration, ownership over projects, and a personalised &pound;6K per year L&amp;D budget. We&rsquo;ve recently been named as finalist in the Culture 100 Awards, shortlisted from more than 5,200 UK companies, with 93% of our team rating their experience here positively in May 2026.<h2 class="jobSectionHeader"> 
Our Client Portfolio</h2>
We work with prestigious, high-growth organisations and sector leaders, in the UK and internationally:<ul><li>Financial Services &amp; Private Equity: Delivering AI-powered analytics, risk, and operational tools.</li><li>Retail &amp; Consumer Brands: Optimising pricing, inventory, and engagement through actionable analytics.</li><li>Asset Management: Developing investment infrastructure and automated risk management systems.</li><li>Public Sector: Trusted by government departments for fraud analytics, predictive maintenance, and operations optimisation.</li><li>SaaS &amp; Manufacturing: Driving technological transformation and efficiency across verticals.</li></ul><h2 class="jobSectionHeader"> 
The Role</h2>
As Engineering Manager, you'll lead a team of 4 Data Engineers, 1 AI Engineer and 1 QA, and sit on the wider management team. A good portion of your week will be the coaching and line-managing of that team, growing people, unblocking them and holding the bar on quality. The rest will be spent delivering across a mix of client engagements and our own product development. This is a player-coach role, not pure people management, you'll stay hands-on enough to make architectural calls, review code and step in on the hard problems when needed.
Using AI well is core to the job, knowing where it genuinely adds value, where it doesn't, and how to embed it sensibly into how your team delivers and what you build for clients, without cutting corners on quality, security or judgement.<ul><li>Oversee and architect delivery of multiple software and data projects, ensuring scalability, security, and maintainability.</li><li>Guide and mentor engineers from junior to senior level, fostering technical growth and a high-performance culture.</li><li>Champion the practical, responsible adoption of AI across engineering workflows, tooling, and client solutions.</li><li>Partner with product managers and technical leads on deliverables, resourcing, and timelines.</li><li>Drive innovation in engineering processes, promoting best practices, DevOps, and technical standards.</li><li>Operate calmly between competing priorities, making clear trade-offs across delivery, people, and quality.</li><li>Engage with client stakeholders, managing partnerships and ensuring solutions are adopted.</li></ul> 
You Should Hit the Apply Button If
We're a lean consultancy scaling deliberately. A lot of what you'd take for granted at a larger firm is still yours to build such as engineering standards, delivery processes, tooling, the shape of the team itself. We move fast, we take on hard problems that often the bigger consultancies haven&rsquo;t been able to solve. You will have real autonomy and a genuine say in how engineering works at QuantSpark, but you'll also be building the road as you drive it. That calls for someone comfortable with ambiguity, willing to make the call on imperfect information, and is ready to get hands on, helping to build the organisation.<ul><li>You excel at managing teams, understand 'culture add' and how to inspire and coach a team to do their best work.</li><li>You bring hands-on experience across software and data &mdash; for example Python (Flask/Django), React.js, and analytics/data engineering (building pipelines, models, and data products).</li><li>You're fluent in software and data architecture, containerisation, and cloud platforms (AWS/Azure).</li><li>You understand the value of AI and know how to use it wisely, helping your team pick the right tools for the right problems.</li><li>You've managed cross-functional teams, mentored engineers, and championed technical and professional growth.</li><li>You can hold competing priorities at once and still keep a team focused, motivated, and performing.</li><li>You're passionate about DevOps and modern tooling, continuously pushing on process and code quality.</li></ul> 
I Want to Work for a Company That<ul><li>Balances visionary leadership with hands-on technical impact.</li><li>Prioritises impactful work and an innovative culture.</li><li>Treats AI as a tool to be used thoughtfully, not a box to be ticked.</li><li>Builds solutions that create lasting impact in both business and society.</li></ul> 
I'm Looking to Work With<ul><li>Smart, collaborative, cross-disciplinary teams solving complex business and technical problems.</li><li>Partners and clients who value AI and data-driven transformation.</li><li>Leadership that inspires, trusts, and invests in emerging talent.</li></ul> 
In 3&ndash;5 Years I Want to Be<ul><li>Recognised for delivering impactful work that matters to clients and the business.</li><li>A recognised mentor who's grown talented engineers and future leaders.</li><li>An influential leader connecting strategic decisions with the smart use of technology and AI.</li></ul><h2 class="jobSectionHeader"> 
Perks &amp; Benefits</h2><ul><li>&pound;6,000 annual training/conference allowance</li><li>Matched pension contributions up to 6%</li><li>Private Healthcare (Vitality)</li><li>EMI share options&mdash;own a part of QuantSpark&rsquo;s growth</li><li>Work abroad up to one month every year</li><li>25 days annual leave (+ bank holidays with the option to buy/sell up to 5 days)</li><li>Annual volunteering day</li><li>Cycle-to-work scheme</li><li>Central London office with socials &amp; events</li><li>Discounts with major retailers, tech, fitness, travel partners</li></ul><h2 class="jobSectionHeader"> 
Equal Opportunities</h2>
We are committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger&mdash;both as people and as a business. All qualified applicants will be considered regardless of sex, sexual orientation, marital status, race, nationality, religion, disability, or age.</div>

Engineering Manager

nearForm

<div>This is a full-time, permanent opportunity for candidates based in the UK and authorised to work without sponsorship.

This position also requires travel to client sites in London (one day every couple of weeks), with travel expenses covered by the company.

About Nearform 

Nearform is an independent team of data &amp; AI experts, engineers, and designers who build intelligent digital solutions and capabilities at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world's most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises, including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.
As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products.
 
Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.

About the Technical Lead Role:

As a Technical Lead at Nearform, you will be responsible for leading and guiding development teams while working directly with clients to translate business and technical requirements into impactful applications. However, as you'll likely work on a variety of projects in your time here, your responsibilities may also include:
<ul>
<li>Provide technical and line-management leadership to your development team.</li>
<li>Take responsibility for the successful delivery of projects.</li>
<li>Identify and resolve blockers before they become issues.</li>
<li>Ensure best practices in software development, DevOps, and agile methodologies are upheld within the team.</li>
<li>Work directly with clients, translating requirements into technical briefs.</li>
<li>Shape and define architectural decisions ensuring scalability, security, and maintainability.</li>
<li>Provide updates to client and Nearform leadership to ensure clear understanding of project status and drive good decision-making.</li>
</ul>
What we are looking for in this person:
<ul>
<li>Significant experience in software engineering and 2+ years of experience leading projects and mentoring as a Technical Lead. For this particular role, we are looking for professional experience Python.</li>
<li>Significant experience on DevOps practices and cloud technologies (Azure)</li>
<li>Experience with AI application development and Agentic frameworks and platforms (e.g., LangGraph, Agentspace, etc.)</li>
<li>Experience working directly with clients or customers to understand technical requirements.</li>
<li>Proven experience working with Kubernetes for container orchestration.</li>
<li>Strong CI/CD experience, including hands-on work with Terraform, Helm, and other cloud-native IaC technologies.</li>
<li>Deep understanding of observability practices, with practical experience using OpenTelemetry (OTel) and related tooling.</li>
<li>Experience leading software engineering teams through technical delivery and either direct line management or mentoring.</li>
<li>Deep understanding of agile ways of working, best practices and design patterns.</li>
<li>Deep understanding of test-driven development and testing best practices.</li>
<li>Deep understanding of version control tools, e.g. Git.</li>
<li>Understanding of operational concerns (such as monitoring, performance testing, security considerations, accessibility, GDPR)</li>
<li>Empathy and people skills</li></ul> 
 
Benefits and Perks we offer at Nearform
<ul>
<li>Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.</li>
<li>Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!</li>
<li>Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more.</li>
<li>Remote Working Allowance - Every 2 years, you will have a budget of up to &euro;1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.</li>
<li>Training and Development Allowance - Nearform is committed to supporting and investing in employees' ongoing learning and professional development. You will be encouraged to pursue relevant learning opportunities that support your growth and the growth of others, subject to manager approval.</li>
<li>Healthcare - It's important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.</li>
<li>Pension &amp; Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind.</li></ul> 


Our Interview Process

Talent Call (30 mins via Zoom) 
An initial conversation with a member of our Talent Team to explore your background, leadership experience, and career goals. We'll provide an overview of Nearform, discuss potential alignment, and answer any questions you may have. This step helps us assess initial alignment.

Technical Lead Assessment (90 mins, Zoom) 
A structured assessment led by a senior Technical Lead or Head of Engineering, designed to evaluate key aspects of a Technical Lead role. This session includes a selection of tasks to cover: 
 
Architecture Design &ndash; We want to see how you approach a high level problem, demonstrating your design thinking and decision-making process. 
Technical Implementation &ndash; How do you turn a design into reality, taking into account business needs? 
Code Standards and Feedback &ndash; We want to see not just your own skills, but also how you improve those around you

Hiring Manager Interview (45 mins via Zoom) 
A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.

There may also be an additional interview with the client depending on the project. 


Ready to Join Us?

If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we'd love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning. 

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help. 
 
Salary up to &pound;120,000 + Bonus &amp; Benefits</div>

Technical Lead - Python & Azure

Aquis Exchange

<div>Type of Employment: Permanent
Location : London
Aquis maintains a presence in both the UK and EU (primarily Paris). Aquis operates a hybrid working environment with a mixture of office and working from home days. In London we currently operate a minimum of 3 days working in the office.
Reports To Head of Infrastructure
Job Overview
Aquis Exchange is looking to hire a Senior Desktop Support Engineer to own and evolve our Microsoft endpoint and server estate across London and Paris. This is a hands-on technical leadership role: you will manage a small and growing Desktop Support team while maintaining deep personal ownership of 3rd line escalations, PKI and certificate lifecycle, MDM policy, and the day-to-day reliability of our Windows environment. The role sits within a tight-knit Infrastructure function and operates at the intersection of endpoint management and core server infrastructure.
Responsibilities and Duties<ul><li>
Lead and develop the Desktop Support Team, providing day-to-day management, mentorship, and performance oversight and reporting to maintain a high-performing support function.</li><li>
Own 3rd Line Desktop Support, handling escalated hardware and software issues to resolution and ensuring reliable operation of endpoints across Aquis offices and for remote users.</li><li>
Manage and evolve Aquis's Microsoft environment, spanning both on-premise infrastructure and cloud services (Microsoft 365 / Azure), ensuring availability, security, and scalability.</li><li>
Define, implement, and maintain MDM and patch management policies, ensuring consistent, timely, and auditable deployment of updates across the device estate.</li><li>
Design, implement, and manage Group Policy Objects (GPOs) and Active Directory structures, ensuring policies governing security, software deployment, and user configuration are well-defined, documented, and consistently enforced across the estate.</li><li>
Manage the lifecycle of digital certificates across the estate, including issuing, renewing, and revoking certificates via internal PKI (AD CS) and third-party CAs, ensuring uninterrupted authentication for endpoints, users, and services.</li><li>
Maintain and continuously improve hardware and software build standards, conducting regular audits to enforce software compliance and licensing obligations company-wide.</li><li>
Implement and uphold approved IT procedures, including change control, and joiner/mover/leaver processes. ensuring consistency, auditability, and alignment with internal policy.</li><li>
Plan and execute IT projects, including software rollouts, hardware refresh cycles, and infrastructure upgrades, coordinating with stakeholders and managing delivery to schedule.</li><li>
Manage vendor relationships and coordinate hardware and software procurement, ensuring value for money, timely delivery, and alignment with approved standards.</li><li>
Produce and maintain accurate, up-to-date technical documentation covering configurations, processes, and runbooks.</li><li>
Collaborate with the Linux and Network teams on cross-functional initiatives and provide cover or assistance as operational needs required</li></ul>
Required Skills and Experience<ul><li>
Proven operational infrastructure support experience, with a track record of delivering reliable IT services in a fast-paced environment.</li><li>
At least 5 years of hands-on experience supporting Windows operating systems in an enterprise setting.</li><li>
Strong Microsoft Server administration skills (2016/2019/2022), including Active Directory, Group Policy (GPO), DHCP, DNS, and NPS.</li><li>
Solid understanding of PKI concepts and certificate lifecycle management, including Active Directory Certificate Services (AD CS) and third-party CAs, as well as integration with Intune for device certificate deployment.</li><li>
Proven experience managing Microsoft 365 services, including Intune, SharePoint, and Teams.</li><li>
Expert-level knowledge of Microsoft Intune Endpoint Management, including device enrolment, compliance policies, and configuration profiles.</li><li>
Demonstrated ability to troubleshoot endpoint VPN connectivity and networking issues across a distributed user base.</li><li>
Solid understanding of patch management and endpoint security practices, including vulnerability remediation and compliance reporting.</li><li>
Experience working in a regulated financial services or similarly compliance-driven environment, with an understanding of the audit and change control requirements that entails.</li><li>
Ability to effectively prioritise and execute tasks in a dynamic environment, balancing competing demands without compromising quality.</li><li>
Excellent verbal and written communication skills, with the ability to convey technical concepts clearly to non-technical stakeholders.</li><li>
Strong analytical and problem-solving ability, with a proactive approach to identifying issues early and proposing practical solutions.</li></ul>
About Aquis Exchange
Aquis Exchange (&ldquo;Aquis&rdquo;) is Europe&rsquo;s challenger exchange, creating better markets for a modern economy. Aquis has market-leading technology and innovative rules for trading, and offers primary listings and secondary trading of equities, along with global licensing of proprietary technology.
Aquis consists of four divisions:
Aquis Markets operates lit and dark order books, covering 16 European markets. For its lit books, Aquis uses a subscription pricing model which works by charging users according to the message traffic they generate, rather than a percentage of the value of each stock that they trade.
Aquis Technologies is the software and technology division of Aquis. It focuses on building better markets via the creation and licensing of cutting-edge, cost-effective exchange infrastructure technology and services, including matching engine and trade surveillance solutions.
Aquis Stock Exchange (&ldquo;AQSE&rdquo;) is a stock market providing primary and secondary markets for equity securities . It is authorised as a Recognised Investment Exchange, which allows it to operate a regulated listings venue. The AQSE Growth Market is divided into two segments &lsquo;Access&rsquo; and &lsquo;Apex'; the Access market focuses on earlier stage growth companies, while Apex is the intended market for larger, more established businesses.
Aquis Data generates revenue from the sale of data derived from Aquis Markets and Aquis Stock Exchange to non-Member market participants.
Aquis is authorised and regulated by the UK Financial Conduct Authority and France's Autorit&eacute; de contr&ocirc;le prudentiel et de r&eacute;solution and L&rsquo;Autorit&eacute; des march&eacute;s financiers to operate Multilateral Trading Facility businesses in the UK &amp; Switzerland markets and in EU27 markets, respectively.
Aquis is part of SIX: the provider and operator of stable and efficient infrastructure for the Swiss and Spanish financial centres. For more information, please go to www.aquis.eu.
Our Culture
At Aquis, we&rsquo;re proud of our culture - one built on trust, collaboration, and accountability. We work fast, support one another, and share responsibility for both our successes and our lessons learned.
Our values guide how we work every day:<ul><li>Win as One &ndash; We collaborate, share knowledge, and celebrate collective success.</li><li>Disrupt Positively &ndash; We challenge the status quo and look for smarter, better ways to do things.</li><li>Find Joy &ndash; We take pride in our work and enjoy what we do, even when it&rsquo;s challenging.</li><li>Act with Honour &ndash; We do the right thing, with integrity and respect for others.</li></ul>
You&rsquo;ll join a supportive, ambitious, and diverse team where ideas are encouraged and innovation is part of our DNA. We recruit talented people from all walks of life and empower them to make an impact. If our values resonate with you, Aquis could be the ideal place to grow your career.
The statements included in this job description are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required.
Equal opportunities at Aquis Exchange.
We are an equal-opportunities employer. All applicants will receive consideration for employment without regard to race, gender, colour, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.</div>

Internal IT Manager

Deloitte

<div><div><div><div><h3 class="jobSectionHeader">Basic information
</h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Technology &amp; Transformation
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>02-Jul-2026
</div></div><div><div>Req #
</div><div>23986
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader">Job description
</h3></div></div><div></div><div><div><div><div>Job Title: Java Developer (FX Trading) - contract
Location: London Hybrid. Travel to the London office on 2-3 days a week
Duration: 6 months (with potential to extend)
Contract Start Date: ASAP *note client onboarding takes 4-6 weeks from offer
Day Rate: Competitive (Inside IR35) 
Deloitte
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. 
The Role
We are looking for an experienced Java Developers to work in the Technology and Transformation Team at Deloitte. You will support the FX trading platforms with one of our global financial services clients. This position requires Java server-side development with FX experience within Financial Services sector, excellent communication skills combined with the tech listed below. 
Essential skill and experience<ul><li>
Highly technical with strong Java server-side development experience.</li><li>
Must have FX experience within Financial Services sector. Have pricing or algo-trading experience in any asset class</li><li>
Have full technology stack knowledge of Java, Linux and networks.</li><li>
Have excellent communication skills to face off to tech management, Quantitative Strategies Group and trading desk.</li><li>
Full SDLC experience, Git, Jenkins, Ansible etc.</li><li>
Advanced programming skills including understanding of algorithms and data structures, design patterns, multi-threading.</li><li>
Experience in 3rd line production support</li><li>
Have a degree in Computer Science, Physics, Engineering, Mathematics, or relevant analytical degree.</li><li>
Be a strong team player</li><li>
KDB / Q experience (Desirable)</li></ul><div></div> 
Deliverables: Responsibilities but not limited to: 
<ul><li>
Design, develop, and implement robust, scalable, and high-performance server-side Java solutions for our algorithmic trading platforms.</li><li>
Engage with the full technology stack, from core Java development to Linux and network optimizations, ensuring seamless end-to-end performance.</li><li>
Provide 3rd line production support to diagnose and resolve complex technical issues, ensuring the stability and reliability of our trading systems.</li><li>
Work in close collaboration with the Quantitative Strategies Group and trading desk to understand requirements and deliver innovative solutions.</li><li>
Participate in the full software development lifecycle (SDLC), utilizing tools such as Git for version control, Jenkins for continuous integration, and Ansible for deployment automation.</li><li>
Effectively communicate technical concepts and project status to technology management and other stakeholders.</li></ul> 
IR35
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</div></div></div></div></div></div><div></div>

Contract - Java Developer (FX Trading)

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