Senior Data Scientist - ST&S

Appcast Enterprise
London, United Kingdom
Today
Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Visa Sponsorship
Available
Posted
15 Jul 2026 (Today)

Benefits

Flexible working options Generous paid parental leave Excellent retirement benefits Reasonable accommodation for disabilities Hybrid working model

Entity:

Technology


Job Family Group:

IT&S Group


Job Description:

Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner!

Summary

We’re looking for engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure—but grounded in disciplined engineering principles.

Our AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you’ll play a critical role in building and deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned engineers who are excited about applying AI in practical and scalable ways.

We’re looking for individuals who thrive at the intersection of disciplined software development and modern AI applications. You should be comfortable working across the full lifecycle of a product—from ideation and architecture to deployment and automation—while navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are essential.

Job Responsibilities

  • Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).
  • Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
  • Participate in cross functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions that solve high-priority business problems.
  • Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications.
  • Champion automation in workflows—from data management ingestion and preprocessing to evaluation, to model integration and deployment.
  • Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products.
  • Stay current with emerging AI technologies, but prioritize practical application and delivery over experimental research.
  • Contribute to the internal knowledge base, tooling libraries, and documentation to scale AI engineering best practices across the organization.

Job Qualifications

  • Proven track record of professional software engineering experience; ability to independently design and ship complex systems in production.
  • Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems.
  • Strong problem-solving skills and the ability to balance engineering rigor with delivery speed.
  • Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.
  • Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.).
  • Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred:
  • Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems.
  • Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them.
  • Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits.
  • Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats.
  • Experience building chatbots, search systems, or generative AI interfaces.
  • Background in working within platform engineering or internal developer tools teams.

Prior experience working in an embedded (forward-deployed) team model with business stakeholders.

  • Experience building production grade, reliable AI applications


Why join us?

At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity.

There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others!

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. Please contact us to request accommodation.

Reinvent your career as you help our business meet the challenges of the future.Apply now!


Travel Requirement

Up to 10% travel should be expected with this role


Relocation Assistance:

This role is not eligible for relocation


Remote Type:

This position is a hybrid of office/remote working


Skills:

Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}


Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application,

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