At a Glance
- Tasks: Build cutting-edge ML models and collaborate with global teams on innovative AI solutions.
- Company: Join Delta Capita, a leader in tech innovation within financial services.
- Benefits: Competitive daily rate, flexible hybrid working, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and career advancement.
- Why this job: Make a real impact in AI-driven projects that enhance customer experiences.
- Qualifications: Experience in ML, Python, and a passion for innovative technology.
Duration: Initial 6 Month Contract
Rate: ÂŁ500-ÂŁ550 p/d
Location: Sheffield
This role sits within a global onboarding and KYC capability team focused on delivering modern, scalable, and user‑centric digital solutions. The team brings together business, operations, and technology stakeholders to co-design platforms that improve customer experience, streamline processes, and strengthen operational resilience. The function supports enterprise-wide digital transformation efforts, enabling the move towards a more modern, future-state technology architecture. Teams collaborate across multiple global locations to design and build digital services that allow customers to onboard quickly, simply, and securely. The remit covers onboarding products, platforms, and delivery approaches aligned to agile, client‑focused ways of working. Solutions are used by a broad spectrum of customers, from large corporates to small businesses.
As part of continued investment in AI and advanced engineering, we are seeking an experienced Machine Learning Developer (AI Engineer) to support key AI‑driven initiatives. You will work closely with cross‑functional teams across various global regions.
Key Responsibilities
- Build production-ready ML models for image and text content extraction and classification.
- Work with business and product teams to gather requirements and develop iterative ML solutions.
- Collaborate with engineering teams to design and deliver AI components and features.
- Create, test, and refine new and existing ML products and services.
- Design and implement Python-based ML and OCR components.
- Support the full lifecycle of ML applications, including deployment, testing, monitoring, and production support.
Required Experience
- Strong hands‑on experience in Document AI / Intelligent Document Processing, using both traditional ML techniques and Generative AI, with proven use of open‑source models.
- Solid experience delivering production‑grade Python solutions.
- Background in machine learning, deep learning, NLP, generative AI, image processing, and OCR (any combination beneficial).
- Experience with ML and NLP frameworks such as TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, Regex, or similar.
- Experience delivering secure, resilient, and well‑governed code to production, with strong awareness of cybersecurity and safe API development.
Nice to Have
- Experience using PostgreSQL for data storage and management.
- Familiarity with cloud services such as virtual machines, and experience with Azure CLI, Azure Kubernetes Service (AKS), or Azure DevOps.
- Experience working in teams that release to production frequently and iteratively.
How We Work
Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire.
This is a contract position located in Sheffield, England. As the selection and interview process is ongoing, please submit your application in English as soon as possible; if your profile is selected, a member of our team will contact you within 4 weeks. For this role, a valid working permit for the UK is mandatory.
Expectations regarding hybrid working
As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the client’s offices or our own offices depending on the client) aligns to what our client’s policies and expectations are and these vary. Most of our client’s now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require.
Who We Are
Delta Capita Group is a global managed services, consulting and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non‑differentiating services. Our 3 offerings are Managed Services Consulting.
AI/ML Developer - Contract employer: Delta Capita
Contact Detail:
Delta Capita Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Developer - Contract
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Document AI and Python solutions. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and frameworks like TensorFlow and PyTorch. Be ready to discuss your past experiences and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace AI/ML Developer - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Developer role. Highlight your experience with Document AI, Python solutions, and any relevant frameworks like TensorFlow or PyTorch. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and ML, and how your background makes you a great fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects related to machine learning or AI, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity.
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 StudySmarter!
How to prepare for a job interview at Delta Capita
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss your hands-on experience with Document AI and how you've implemented ML solutions in the past. This will show that you're not just familiar with the tech, but that you can actually apply it.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Think about times when you had to gather requirements from business teams or collaborate with engineering teams. Highlight your ability to iterate on solutions and adapt to feedback, as this is crucial for the role.
✨Understand the Business Context
Familiarise yourself with the company's focus on customer experience and digital transformation. Be ready to discuss how your work in AI and ML can contribute to improving onboarding processes and operational resilience. This shows that you understand the bigger picture and are aligned with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the technologies they use. This not only demonstrates your interest in the role but also gives you a chance to assess if the company culture and expectations align with your own values and working style.