At a Glance
- Tasks: Build and deploy ML applications that provide actionable financial insights for SMEs.
- Company: Join Allica Bank, the UK's fastest-growing fintech firm focused on empowering SMEs.
- Benefits: Enjoy flexible working, private health cover, and a supportive development environment.
- Other info: Dynamic team culture with opportunities for career growth and innovation.
- Why this job: Make a real-world impact on UK SMEs while shaping the future of AI in finance.
- Qualifications: Strong skills in machine learning, Python, and experience with LLM applications.
The predicted salary is between 48000 - 72000 £ per year.
About Allica Bank
Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.
Department Description
We’re building the next generation of intelligent financial tools for SMEs starting with an AI-powered Treasurer. Our platform will give business owners real-time visibility across accounts, AI-native cashflow forecasting, and smart treasury optimisations redefining how small and medium-sized businesses manage money. We’re looking for a Senior Machine Learning Engineer to join us at the ground floor and has the autonomy to make a real-world impact. This is an opportunity to have a positive impact on UK SMEs and help shape the future of AI native financial services.
Role Description
As our ML engineer you will:
- Build and deploy ML and LLM-powered applications that deliver actionable financial insights and decision support.
- Work end-to-end across the stack: rapidly prototype and iterate with product and design to bring new features to life.
- Ensure models interpretability and explainability so SMEs can understand the why behind the insights.
- Develop guardrails and fail-safes to guarantee AI outputs are trustworthy in high-stakes financial contexts.
Personal Attributes & Experience
We strongly value talent, agency, curiosity, and hunger. Strong technical ability in machine learning, NLP, or large language models. Hands-on experience with Python, PyTorch/TensorFlow, and OpenAI SDK (or similar). Strong knowledge of Classification and Time series models.
Bonus points for:
- Experience shipping LLM applications in production.
- Contributions to ML/AI projects and/or a portfolio of ML projects you’ve worked on.
- Achievements in competitive programming, STEM olympiads, or other indicators of exceptional technical ability.
- Peer-reviewed publications.
Please note: This is a 12 month fixed term role with possibility to extend longer.
Working at Allica Bank
At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers. Our employees are at the heart of everything we do so our benefits are designed with you in mind:
- Full onboarding support and continued development opportunities
- Options for flexible working
- Regular social activities
- Pension contributions
- Discretionary bonus scheme
- Private health cover
- Life assurance
- Family friendly policies including enhanced Maternity & Paternity leave
Don’t tick every box? Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit we’d still love to hear from you!
Flexible working
We know the 9-to-5 isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and if we can we will do our best to accommodate.
Diversity
We’re a diverse bunch here at Allica with all kinds of experiences, backgrounds, and lifestyles. Our openness and differences make us stronger and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.
Required Experience
Senior IC Key Skills: APIs, C/C++, Computer Graphics, Go, React, Redux, Node.js, AWS Library Services, Assembly, GraphQL, High Voltage.
Employment Type: Full-Time
Senior MLOps Engineer - FTC employer: Allica Bank
Allica Bank is an exceptional employer, offering a dynamic work environment where innovation meets purpose. As the UK's fastest-growing fintech firm, we empower our employees with flexible working options, comprehensive development opportunities, and a strong focus on diversity and inclusion. Join us to make a meaningful impact on SMEs while enjoying a supportive culture that values your contributions and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLOps Engineer - FTC
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Allica Bank. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects or any relevant work. This is your chance to demonstrate your hands-on experience with Python, PyTorch, or TensorFlow – make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss classification models and time series analysis, and don’t forget to highlight your understanding of AI interpretability – it’s key for the role!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t hesitate – get your application in!
We think you need these skills to ace Senior MLOps Engineer - FTC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior MLOps Engineer role. Highlight your technical abilities in machine learning, Python, and any relevant projects you've worked on. We want to see how you can make a real-world impact!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about helping SMEs and how your background makes you a great fit for our team. Be genuine and let your personality come through – we love to see the real you!
Showcase Your Projects:If you've got a portfolio of ML projects or contributions to AI initiatives, don’t hold back! Share links or descriptions in your application. We’re keen to see your hands-on experience and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Allica Bank!
How to prepare for a job interview at Allica Bank
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning and NLP skills, especially with Python and frameworks like PyTorch or TensorFlow. Be ready to discuss specific projects you've worked on, particularly those involving LLM applications, as this will show your hands-on experience.
✨Understand the Company’s Mission
Allica Bank is all about supporting SMEs, so take some time to understand their purpose and how your role as a Senior MLOps Engineer can contribute to that mission. Being able to articulate how your skills align with their goals will definitely impress the interviewers.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare to explain your approach to model interpretability and how you ensure AI outputs are trustworthy. Practising common ML scenarios and problem-solving questions can help you feel more confident.
✨Show Your Curiosity and Passion
Allica values talent agency and curiosity, so don’t hesitate to share your enthusiasm for the field. Discuss any recent trends in AI or machine learning that excite you, and be prepared to ask insightful questions about the company’s projects and future directions.
