Senior AI Engineer

Griffin Fire
London
1 week ago
Create job alert

Driving Innovation and Trust: Ten’s Journey to Redefine Service Excellence

Ten is on a mission to become the most trusted service business in the world. Technology-driven Product is at the centre of our strategy to create a hugely successful service and business. Millions of members already have access to Ten's services across lifestyle, travel, dining and entertainment on behalf of over fifty clients including HSBC, Swisscard and Royal Bank of Canada. Ten's partnerships are based on multi-year contracts generating revenue through platform-as-a-service and technology fees.

We have the advantages of already being at scale globally with a critical mass of high net worth members via stable, multi-year revenue-generating contracts. We already have a market leading consumer proposition and credibility (and many integrations) with the leading suppliers/partners across our ‘big 4’ service categories of restaurants/travel/entertainment and luxury retail.

We are profitable and the first B Corp listed on the London Stock Exchange (AIM market).

Our plans are to continue to invest into technology (including AI) to become the main way that our members organise their leisure lives. The next few years will see Ten, led by our 7 person ExCo, speed up our progress via our Growth Engine strategy, making the next huge steps to achieve our ambitions together.

Join Our Team as a Senior AI Engineer!

Ten is currently building a team of AI engineers in London, and as part of those efforts, we’re currently looking for a Senior AI Engineer who will play a critical role in designing, building, deploying, and monitoring AI systems that scale across the business and to our millions of members globally.

Your role will involve working in a cross-functional team, collaborating with product, data and platform teams to produce high quality working software released to a frequent cadence. The team adopts a ‘you build it, you run it’ and DevOps mindset and likes to be hands-on in all aspects of development. You will be responsible for ensuring the software meets quality through rigorous automated testing and metrics. You will also be responsible for assessing and choosing the right solution for the task at hand whilst considering cost implications and timelines.

If you have a curiosity and passion for AI, whilst a firm grounding in software engineering principles enabling you to build industry leading products, we'd love to hear from you!

Key Responsibilities

  1. Proficiency in at least one programming language (e.g., Python, C#, JavaScript, Kotlin, Java, Go).
  2. Experience with Gen AI tools (e.g., LangGraph, CrewAI, Hugging Face, OpenAI APIs) and ML frameworks such as PyTorch/TensorFlow.
  3. Experience in building and optimising systems for performance, scalability, and reliability.
  4. Strong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges (prompt engineering, latency, cost optimisation).
  5. Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform).
  6. Familiarity with DevOps practices (CI/CD, Docker, K8s) and observability tools (Prometheus, Grafana, Datadog).
  7. Experience in distributed systems and scaling.
  8. Knowledge and hands-on experience with multiple data stores (both SQL and NoSQL).
  9. Desired experience in building agentic workflows (e.g., autonomous systems or multi-agent architectures).
  10. Fluent in English (C2 proficiency).

We are seeking exceptional candidates based in London who are able to commute to the office 3 days a week.

Benefits & Rewards

At Ten, we believe our people are at the core of everything we do. We’ve cultivated a culture that not only acknowledges hard work but celebrates and rewards it. From regular appraisals to our annual Extra Mile Awards, we ensure that those who go above and beyond receive the recognition they deserve. We’re committed to supporting our employees in achieving both their personal and professional aspirations, encouraging everyone to integrate their goals and interests into a fulfilling career with us.

Our offerings are tailored to meet your needs. Alongside a competitive salary, you’ll gain access to extensive professional lifestyle and travel networks, broadening your horizons and connections. We also provide flexible working arrangements, allowing you to balance your home and office life seamlessly.

We value the importance of rest and giving back, which is why we offer a generous paid time off package, including a day each year dedicated to volunteering for a cause close to your heart. Additionally, after five years of service, you’ll enjoy a paid sabbatical, giving you a month to focus on personal pursuits without using your annual leave.

Our Ten Loyalty Rewards program further shows our appreciation, with bonuses and thoughtful gifts as a token of gratitude for your commitment. For those with a love of exploration, our Remote Working Holidays allow you to combine work and travel, anywhere in the world. Plus, as part of our team, you’ll enjoy exclusive travel and entertainment discounts, just like our members.

At Ten, you’ll be part of a global, dynamic, and inclusive team, with diversity at its core and endless opportunities for growth.

Join us and experience a workplace where you can truly thrive.

Commitment to Diversity

We encourage diverse philosophies, cultures, and experiences. We appreciate diversity and are dedicated to creating an inclusive work environment for our employees. This idea unites the teams at TEN. All aspects of our relationship, including the decision to hire, promote, discipline, or terminate, will be based on merit, competence, performance and business needs.

“Ten works with a small preferred supplier list of recruitment agencies only. Please note we are not accepting any further recruitment agencies at this time. Ten Group is not responsible for any fees related to unsolicited resumes.”

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior AI/ML Engineer - Crypto/Blockchain

Senior AI Engineer - Remote - LegalTech - Circa. £120k

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.