41 jobs found

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our click apply for full job details

Principal Data Engineer Salary: £110,000 + Benefits Own the rebuild of a modern data platform from the ground up. Were working with a business in the middle of a high-impact data transformationmoving away from legacy constraints towards a scalable, cloud-first architecture click apply for full job details

RDQ426R108 About the Role Lead a team dedicated to embedding security into Databricks' core platforms - including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks. Shape company wide security architecture by driving "secure by default" platforms, opinionated frameworks, and systemic guardrails. Partner closely with engineering teams to make the secure path the easiest path. Eliminate entire classes of security risk through scalable design, not manual reviews or ticket triage. Set technical direction and empower engineers to build secure systems at massive scale. The Impact You Will Have Build secure platforms: Integrate security into infrastructure and platform systems from the ground up. Create reusable security frameworks: Develop secure reference architectures and automated guardrails that simplify adoption. Reduce systemic risks: Identify patterns of architectural weaknesses and drive durable, root cause fixes across product areas. Influence roadmaps: Work with engineering and Red Teams to validate assumptions, improve controls, and strengthen design decisions. Scale security leadership: Grow and mentor senior security engineers, ensuring engagement happens early and proactively. Drive meaningful outcomes: Within 12 months, your team will enable security frameworks to be adopted by default, eliminate recurring vulnerability classes, and permanently reduce at least one major systemic risk. What We Look For Deep technical background in distributed systems, cloud, or platform security. Proven experience securing large scale, multi tenant architectures. Strong grasp of identity, authorization, isolation, and cryptographic trust boundaries. Comfortable influencing principal engineers and product roadmaps. Demonstrated success leading technically senior engineers with high autonomy. A mindset that focuses on failure chains, not just individual vulnerabilities. Passion for building security solutions that are scalable, elegant, and frictionless for developers. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Hybrid 2 days per week in-office Location Tower Bridge (once per month to Fleet) About Tempcover Tempcover is at the forefront of the fast-growing world of short term insurance. Our mission is to make car insurance flexible, quick, and easy for drivers. We've sold millions of policies that have helped drivers get where they need to go, but we're not finished there. We're growing our team to help us continue in that mission. If you are extraordinary at what you do and want to be a part of a rapidly growing business at the cutting edge of the Insurtech industry, we would love to hear from you. Principal Engineer - Role Overview Tempcover is investing heavily in modernising our technology to power the next growth phase of our business. We are looking for a Principal Engineer who can bring a depth and breadth of experience to help shape this journey; working in a role with a high level of ownership, empowerment, impact and mentorship. Each engineer plays an integral role in the development, delivery, maintenance, and support of our insurance-based systems, both public-facing and internal. We are looking for a Principal Engineer to serve as the technical anchor for our organization. In this high-impact role, you will move beyond individual contribution to shape the future of our technology. You will unify multiple teams towards a technical strategy together with our long-term company vision. What you'll be doing You will set the new standard for large-scale system architecture. You will lead by example, personally designing and delivering high quality code which builds systems that are resilient, scalable, and observable, ensuring they can handle our next phase of growth. You will lead the evolution of our platform and will act as the bridge between technical estate and business requirements, ensuring stakeholders understand the "why" behind technical decisions and tradeoffs, and helping engineers understand how we can get there. Teams will look to you for guidance and you will serve as the escalation point for the most complex technical decisions. You will mentor and pair with senior and staff engineers, helping them grow into technical leaders and foster a culture of technical excellence and continuous learning. What we're looking for Experience of having worked on, and led, modernisation initiatives, using techniques like the Strangler Fig. The highest level of proficiency designing, developing, operating and improving highly observable applications using Golang and other modern languages Deep understanding of AWS and AWS products like Lambdas, DynamoDB, etc but also comfortable or with tracked experience in Azure and Azure devops Knowledge of containerisation and IaC (Terraform, Pulumi, SST) Experience with technologies like Cloudflare or similar A solid understanding of development methodologies and design patterns Proficiency with C# ASP.NET, .Net Core are a plus React, Typescript, Astro, NodeJS are also a nice to have What we offer 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in-office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one-off £300 "Work from Home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "My Time" per year Private medical cover, critical illness cover and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected We use Metaview during the interview processes for note taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know. Our culture Our culture is driven by innovation, collaboration, and a relentless focus on creating real value for our customers. With an experimentation mindset, we challenge the status quo, push boundaries, and embrace continuous learning to stay ahead. Our diverse teams are made up of brilliant people who uplift each other and work together to tackle complex problems. We work with a balance of rigour and urgency so we can learn fast and adapt to change quickly. We are a company where growth knows no limits, and where every person is empowered to make an extraordinary impact. Check out our Life At RVU page to get a further glimpse into our culture. At RVU we combine the close-knit and agile environment of a startup, with the know-how, technology and backing of a well-established company. Our mission is to empower people to make confident decisions. With our unique set of brands, including Uswitch money.co.uk, Tempcover and Mojo Mortgages , we have the power to reach millions of consumers and the technology to deliver a world class online experience for them.

Required Skill Amazon Web Service (AWS); Databricks; ML Ops; MLFlow; Python Number of Positions 1 City Mansion House Province Greater London Postal Code EC4 Country United Kingdom Job Type NA Job Description/ Summary Who we are: Kubrick is a next-generation technology consultancy, designed to accelerate delivery and build amazing teams. We deliver services across data, AI, and cloud and we're building the next generation of tech leaders. Since 2017, we have established a market leading position supporting our clients build their data and technology teams and deliver enduring solutions. The Role: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our growing community specialising in Databricks. The successful applicant will have a strong background in training models to support a range of problem domains and be well versed in delivering and maintaining models in a production environment through applying MLOps best practice. The role will require familiarity with the relevant capabilities of Databricks and at least one of the major cloud service providers (AWS, Azure, or GCP). Advanced proficiency in Python and SQL is essential and an academic background ground in a related discipline is preferred. As a Senior ML Engineer in our Kubrick Advanced team, you will play a key role in delivering high quality AI/ML and data engineering projects to our clients, with Databricks serving as the primary platform for solution development. You will work closely with Databricks' professional services teams and client stakeholders to design and implement Lakehouse aligned architectures, leveraging Delta Lake, Unity Catalog, MLflow, and Databricks Model Serving as part of robust end to end solutions. Alongside hands on development, you will frequently take on leadership responsibilities within Kubrick delivery squads, providing technical guidance, enforcing best practices, and ensuring solutions are scalable, secure, and aligned with Databricks standards throughout the project lifecycle. You will also contribute to the ongoing growth and capability development of Kubrick, in strengthening our Databricks delivery proposition. This will include supporting the development of internal accelerators, championing best practice use of the Lakehouse Platform, and assuming line management or technical leadership responsibilities within the team. Key Responsibilities Lead technical delivery within Kubrick's squads deployed on client project engagements, ensuring our solutions follow Databricks Lakehouse best practices and that Kubrick is recognised for the quality, scalability, and robustness of the technical solutions we provide. Work with Kubrick & client staff of other disciplines to understand and assess requirements, design Lakehouse aligned architectures, and inform delivery planning that leverages Databricks capabilities such as Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Seek, build, and maintain effective client relationships contributing to Kubrick's commercial priorities while strengthening our collaborative partnership model, particularly in data & AI engagements delivered on Databricks. Line managing developers within the team, supporting their technical development with a focus on Databricks engineering best practices, certified learning paths, and production grade ML delivery standards. Promote a culture of engineering excellence within KA through curiosity, collaboration, and contributions to our internal Databricks knowledge base, accelerators, and delivery playbooks. Actively participate in continuous learning and upskilling, including pursuing Kubrick funded Databricks certifications and engaging in self directed or group learning to ensure your technical capabilities remain modern and industry relevant. Required Skills & Experience Experience in Machine Learning and/or Data Science, including building, deploying, and operating production grade ML model, ideally within a Lakehouse architecture. Hands on practical experience training, finetuning, and deploying ML models on Databricks, including use of MLflow for tracking and model registry, Model Serving, and Delta Lake as the underlying data layer. Holding a Databricks ML Engineer certification is highly desirable. Strong ability to "pick the right tool for the job," selecting appropriate modelling approaches, frameworks, and Databricks native capabilities to address a given problem statement. Awareness of the cost implications of training, finetuning, testing, and serving ML models on Databricks, including cluster configuration, autoscaling, and job orchestration. Deep AI/ML subject matter expertise, combined with the communication skills needed to explain technical concepts clearly and influence both technical and business stakeholders. Demonstrable experience in delivery leadership and/or line management, including mentoring junior technical personnel-ideally within a Databricks-centric engineering environment. Development Opportunities 20 dedicated development days. Four of these will be quarterly collective training days and the remainder will be informed by your own professional development plan. Support for Professional accreditations in our partner technologies, e.g. Databricks, Azure, AWS etc. Close collaboration opportunities with principal consultants and senior members of the business.

Insight Investment is looking for Security Architect to join the Data Platform team in Manchester. The role will focus on designing, implementing, and continuously enhancing the security of our Snowflake-based data platform hosted on Microsoft Azure. This role has been created to strengthen security-by-design principles throughout the platform's development and delivery processes. Working collaboratively within the team, you will partner closely with engineers and fellow architects to proactively identify cyber threats, devise proportionate security controls, and see these measures through to practical implementation. Your efforts will be instrumental in ensuring our platform remains secure and compliant, while supporting efficient and frictionless delivery. This is a hands-on, delivery-oriented position, embedded within the wider Data Platform team. You will play a key part in shaping our secure system development practices, championing robust governance and regulatory compliance, and enabling trusted access to data for users across the organisation. Role Responsibilities Design and implement security architecture for the Snowflake data platform on Microsoft Azure, encompassing data, identity, network, and platform controls, while embedding security into Snowflake workspaces and GitHub-backed repositories (secure branching, code reviews, pipelines, secrets management, and deployment patterns) Secure integrations with Sigma, Collibra, on-premises systems, other clouds/SaaS, and third-party vendors by ensuring connectivity, authentication, data exchange, and auditability Lead threat modelling and hands-on security assessments for systems, data flows, integrations, and vendors; translate findings into actionable controls, prioritise remediation, and track closure Implement and refine controls across IAM (Entra ID/Azure AD, Snowflake roles/RBAC), networking (private endpoints, firewall rules), encryption and key management (customer-managed keys, Key Vault), secrets management, monitoring, and logging, ensuring operability and observability (logs, alerts, dashboards), incident response, and post-incident learning Define and embed reusable, automatable security patterns, guardrails, and reference architectures in CI/CD; enforce secure data lifecycle controls (ingestion, storage, processing, sharing, retention/deletion), including classification, masking, and least-privilege access Work closely with the platform team and Internal Security to align on standards and enable secure delivery, contribute to Architecture Review Boards and technical risk management, and ensure compliance with legal, regulatory, industry, and enterprise standards, focusing on real risk reduction. Elevate the platform team's security maturity and mindset in the process Experience Required Snowflake on Azure security: role/warehouse design, RBAC, masking/row level controls, network policies, private connectivity, secure data sharing patterns Azure security: identity (Entra ID), network isolation (VNets, Private Link), Key Vault / customer managed keys, policy/blueprints, logging/monitoring GitHub security & DevSecOps: protected branches, code owners, signed commits, secrets management, GitHub Actions hardening, SAST/secret scanning, supply chain hygiene Infrastructure as Code (e.g., Terraform) and pipeline embedded controls (policy as code, automated checks, drift detection) Threat modelling & risk assessment skills; ability to turn threats into concrete, testable mitigations and track them to done Zero Trust and principal of least privilege mindset; strong grasp of enforcing role entitlement over data security (classification, tokenisation/masking, lineage, audit) Security observability: designing for logs, metrics and alerts that support detection, response and auditability Working familiarity with industry frameworks (e.g., NIST CSF, CSA Cloud Controls) to communicate design rationale in governance forums Clear, pragmatic communication to brief engineers, product, architects and ARB succinctly; documents decisions and residual risk Behaviours: collaborative, embedded, outcome focused, balances speed and safety, takes ownership, learns from incidents, influences through expertise, consultative stakeholder style, curiosity, continuous improvement mindset, transparent about trade offs and residual risk Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:

Title: Principle Engineer Location: Primarily remote in Scotland, with some travel to Edinburgh. Reports to: VP of Engineering It's rare for companies to break out of the start up stage, rarer still to become profitable and keep growing. At Hyble, we've done both, and we're not slowing down. We started as 12 people in a tech incubator, taking on a problem the entire beverage industry had quietly accepted as normal: why did it take weeks for a sales rep to get their customer the marketing support they needed to start selling? We built the answer. Hyble is now the only end to end point of sale ecosystem built for the global beverage industry. Active in 50+ markets, helping the world's leading drinks brands create, approve, print, and deliver fully compliant POS materials in hours, not weeks. From 10 venues to 10,000, we give brands complete control at every touchpoint. High Growth Scale Up We've delivered consistent revenue growth for eight consecutive years. Over the last three years alone, the business has grown 213% and reached profitability. That's a milestone that reflects years of deliberate, disciplined investment decisions that have paid off. In 2023, we won a landmark contract with Southern Glazer's Wine & Spirits, a $25 billion business and the largest wine and spirits distributor in the US. Today we're a 135+ person, award winning MarTech company operating across three continents - with 70% of our revenue generated in the US and a sales pipeline exceeding $70 million. The AI Opportunity The next chapter is AI first, and it's happening now. We're not retrofitting AI onto an existing product. We're rebuilding around it - embedding AI at the core of how our platform thinks, personalises, and performs. The opportunity is significant: a traditional, relationship driven industry that is ripe for disruption, and a product already trusted by the brands that matter most. For senior hires, that means something specific: you arrive at the point where architecture decisions stick, where what you build becomes the standard, and where the market is still open enough for genuinely bold thinking to win. What you'll find here: Ownership without bureaucracy. You'll move at the pace of someone who has real authority, because you will. You won't inherit a fully packaged function. You'll shape how it operates across a growing international scale up. Problems worth solving. The intersection of AI, distribution networks, and global beverage brands is not a solved space. You'll be figuring things out, not inheriting playbooks. Impact you can see. We're small enough that your decisions shape the product, the team, and the trajectory of the business and large enough that the scale of that impact is real. We're hiring a Principal Engineer who is just as energised by making the person next to them better as they are by writing great code. The most valuable contribution you'll make won't come from producing architecture in isolation. It will come from working alongside engineers, helping them think through hard problems, and walking away having made both the solution and the person stronger. We want someone who leads from within, not from above. Our engineering team has real talent and real potential. What it needs is someone who raises the ceiling, not just the floor. Someone who brings technical depth the team can genuinely learn from, working in partnership with the VP of Engineering to build a culture of strong technical thinking, commercial awareness, and continuous improvement. You will be hands on. You will write code. You will also own outcomes. Your biggest impact will come from the engineers around you getting better because of how you work, and from the platform getting meaningfully closer to where it needs to be. You will: Pair with engineers on complex technical challenges, solving problems together rather than solving them for them Take a leading role in Hyble's AI transformation, helping the engineering organisation understand, adopt, and build with AI tools and integrations across the stack Lead Architecture Guild sessions, setting the technical direction of the platform and holding the team accountable to it Identify gaps in technical knowledge across the team and address them through mentoring, code review, and hands on collaboration Drive improvements to code quality, architecture patterns, and engineering practices across the teams Own the transition of Hyble's platform from a monolithic architecture toward an AI ready, scalable foundation Lead AI integration work, including LLM pipelines, data architecture improvements, and intelligent feature development Be a trusted technical voice in conversations about build vs buy, platform strategy, and tooling decisions Help engineers develop commercial and product led thinking, not just technical execution Contribute to hiring and technical assessment as the engineering organisation grows Key Challenges We want to give you an honest picture of what you're walking into. Raising the technical ceiling. The engineering team has capable people who are ready to grow. The challenge is building the habits, practices, and culture that take them from good to genuinely strong. That doesn't happen by telling people what to do. It happens by working alongside them consistently. Leading the AI transition. AI first is the direction. Getting a team of engineers to genuinely adopt AI in their day to day work, not as a gimmick but as a real productivity and quality multiplier, requires someone who can demonstrate it, not just advocate for it. Evolving a live platform. Hyble's platform serves enterprise clients who depend on it. Improving the architecture, increasing test coverage, and moving toward a more scalable foundation all need to happen without breaking what's already working. Building trust fast. The team has been through a period of change. The Principal Engineer will need to earn credibility through consistency, technical depth, and genuine investment in the people around them. What Good Looks Like at 6 Months We want you to be able to measure your own success. Here is what we'd expect to see: Engineers across the teams are visibly improving their technical judgment, not just their output AI tools and practices are embedded into the engineering workflow, with adoption measurable and growing The Architecture Guild is running consistently, with clear decisions documented and followed through At least one meaningful improvement to the platform architecture is in production or clearly underway You are trusted by the engineering team and working as a genuine partner to the VP of Engineering The Truth About Working Here It's messy and fast. We're scaling quickly, priorities shift, and nothing stays still for long. We fail, we learn and we iterate. If you need perfect architecture or stable requirements, this won't be for you. It's demanding. The team will look to you. The bar is high. You'll be trusted with real influence and real accountability early, and you'll see the impact of your work immediately. It's team first. No egos, no silos, no coasting. We push each other, support each other, and expect everyone to pull their weight. We help each other win. What You Need to Bring Deep technical engineering experience. You have strong command of backend systems, distributed architecture, and modern engineering practices. You've built and maintained production systems at scale and can engage with hard problems from first principles. A coaching instinct. You genuinely enjoy making other engineers better. You have experience mentoring junior and mid level engineers and you do it through questioning, pairing, and guiding rather than just telling them the answer. Hands on delivery. You write code regularly and take pride in it. You don't just review and advise. You roll up your sleeves and build alongside the team. AI fluency. You have practical experience building with LLMs, AI integrations, or AI powered features. You understand how AI changes what good architecture looks like and you can bring a team along on that journey. Ownership mindset. You don't just influence. You take accountability for outcomes. If the architecture isn't improving, that's on you. If the team isn't growing, that's on you too. Commercial awareness. You understand that engineering decisions have business consequences. You can think about trade offs in terms of customer impact and commercial value, not just technical elegance. Strong communication. You can explain complex technical ideas clearly to engineers at all levels. You contribute to architecture conversations in a way that opens up thinking rather than closing it down. Bonus Points Experience with .NET Core, React, or Azure cloud infrastructure Background in B2B SaaS, MarTech, or enterprise software Experience with vector databases, RAG pipelines, or semantic search Track record of running or contributing to architecture review processes Experience in a scale up environment where you've had to build and improve practices, not just inherit them What We Are Not Looking For The ivory tower architect click apply for full job details