Senior AI and ML Scientists

Join our established AI team, bringing scientific depth and rigor to drive innovation across diverse specializations, from agentic AI to industrial vision and signal machine learning, and ensure robust, uncertainty-aware production systems.

Shared qualifications

• Design and run experiments with evaluation rigor.

• Pragmatic approach to deploying research into production systems.

• Fluent in English, with strong communication skills.

• Demonstrated track record of moving research and models into production environments.

• Deep working knowledge of uncertainty quantification, calibration, and out-of-distribution behaviour in autonomous AI systems.

Shared desirables

• Mentorship and team development, raising the bar for those around you.

• Ability to communicate complex probabilistic concepts to non-technical stakeholders.

• Recognised research contributions (e.g., publications, open source projects, invited talks).

• Experience setting evaluation standards across multi-team organizations.

• Background in industrial, energy, or similarly consequential domains.

• Proficiency in Norwegian or other Scandinavian languages.

About the roles

We are seeking Senior AI and ML Scientists across several critical specialisations to bring scientific depth to our established AI organization. These roles are pivotal in raising evaluation rigor, mentoring across the team, and taking ownership of the specific modalities our industrial use cases demand.

You will apply scientific rigor across all stages of AI delivery, from initial problem framing through to evaluation design. This involves technical deep dives within your chosen specialization, contributing to our collective knowledge, and raising the bar across the team. A key aspect is mentoring data scientists and engineers, and actively moving research into production through collaboration with MLOps, architecture, and pod engineers. You will also contribute to establishing uncertainty quantification standards, understanding how prediction confidence and calibration affect safe automation thresholds, and promoting software engineering discipline in scientific work, including version-controlled experiments, peer-reviewed code, and production-ready implementations.

Why these roles exist

Aker BP is building the foundation for agentic AI at scale. We are doing this as one operating model — strategy, architecture, science, data, safety, and delivery designed to work together, not as separate teams. This role is part of that build.

These roles sit at the science and depth layer of the AI operating model — setting evaluation standards, mentoring across pods, and representing the AI function in architectural and strategic decisions.

We are moving AI into the core of industrial operations — work that spans physical assets, regulated environments, and decisions that affect production, safety, and the broader energy system. We work cross-disciplinarily, with a focus on shipping into production rather than running experiments indefinitely.

One role – several specialisations

Apply for different tracks.

We assess against a shared senior profile and match track based on strengths. Indicate a preferred track or stay open to placement.

Track 1: Principal AI / ML Scientist

Provide scientific leadership across the full team. Set the evaluation bar, mentor across specialisations, shape research direction, and represent the AI function in architectural and strategic decisions. A high-leverage senior hire.

Must-have

• PhD in Machine Learning, Computer Science, Statistics, or related field — or equivalent demonstrated depth.

• Track record of moving research into production, not just publishing.

• Demonstrated mentorship and leadership across a senior scientific team.

• Deep working knowledge of uncertainty quantification, calibration, and out-of-distribution behaviour in autonomous AI.

Preferred

• Recognised research contribution (publications, open source, invited talks).

• Experience setting evaluation standards across a multi-team organisation.

• Background in industrial, energy, or similarly consequential domains.

Track 2: Senior ML Engineer / Applied Scientist — Language and Agents

Bring deep expertise in LLM-based systems, agentic reasoning, RAG quality, evaluation frameworks for probabilistic outputs, and multi-agent coordination. Translate uncertainty in LLM outputs into concrete risk thresholds and operational guardrails.

Must-have

• Hands-on production experience shipping ML or LLM-based applications, ideally including agentic patterns.

• Demonstrated work on evaluation methodology for probabilistic and non-deterministic outputs.

• Hands-on ML and AI architecture experience including evaluation of quality performance.

Preferred

• Multi-agent coordination patterns (planner-executor, critic-actor, etc.).

• MLOps framework with focus on automated performance checks and re-training.

• Experience with calibrated uncertainty estimation in production.

• Publications, open source, or recognised work in the field.

Track 3: Senior Signal Processing / Acoustic ML Engineer

Specialist depth in acoustic signal processing and related machine-learning approaches. Relevant across subsurface, operations, and equipment monitoring use cases.

Must-have

• MSc or PhD in Signal Processing, Acoustics, Geophysics, or related field.

• Hands-on machine-learning applied to acoustic or signal data.

• Demonstrated production deployments — not just research projects.

Preferred

• Subsurface, seismic, or geophysical applications.

• Equipment monitoring or industrial IoT signal applications.

Track 4: Senior Computer Vision Engineer / Scientist

Specialist depth in computer vision for industrial applications: inspection imagery, equipment monitoring, drone-footage analysis, and multimodal retrieval.

Must-have

• MSc or PhD in Computer Vision, Machine Learning, or related field.

• Hands-on production CV models deployed in industrial or comparable contexts.

• Working knowledge of multimodal retrieval and modern vision-language models.

Preferred

• Drone-footage analysis or aerial imagery.

• Inspection or equipment-monitoring applications.

• Active learning and label-efficient methods (relevant given industrial label scarcity).

What we offer

• Professional development
  We are committed to providing you with varied experience and enhancing your expertise, helping you build a strong CV for the future.

• Competitive compensation
  We offer a competitive salary, an opportunity to earn bonuses, a share savings programme, and a solid pension scheme.

• Work-life balance
  We value good health and work-life balance, offering good cafeterias, work-out facilities, and flexibility in working hours and location.

• Employee well-being
  We ensure you get support from our company health service and insurance programmes should anything happen.

• Diverse & inclusive environment
  We are convinced diversity is important for success, and everyone should feel involved, included, and respected.

• Accessible workplace
  Our offices are designed to be universally accessible for all.

Our culture & vision

• SAFER values
  Our foundation is built on being Seekers, Accountable, Foreseeable, Engaged, and Respectful in everything we do.

• AI-first mindset
  We are an AI-first company, committed to leading our industry in AI adoption and unlocking its transformative power.

• ONETEAM culture
  Cooperation is at our core; working with us means being part of our collaborative 'ONETEAM' culture.

• Safety priority
  We put safety first in all operations and expect the same commitment from every team member.

Application process

Contact information: Simen Eldevik. Background checks will be performed, following consent from relevant candidates. We ask that you enclose your diploma/grade transcript with your application. Furthermore, an assessment of affiliation to high-risk countries is carried out as part of the recruitment process for all positions in Aker BP.

Our ambition is clear: to become the world’s first AI‑native exploration and production company.

We're hiring to accelerate our journey towards becoming the first AI-native E&P company.

We didn't discover AI last year. For a decade, we've been building the data foundation and interoperable ecosystem that now lets us scale AI across some of the most complex operations in our industry. 

Our ambition is simple to state and hard to deliver: a 3x productivity improvement. Getting there demands more than incremental gains,  it requires a fundamental redesign of how work gets done. You get there by redesigning how decisions are made, how work is planned, and how assets are run, with AI agents as native participants in the operating model. And that's why we're looking for ambitious, driven AI professionals who want to help rewrite how a large industrial company operates.

If that sounds like your kind of problem, we'd like to meet you.

Aker BP uses AI-assisted review as part of the recruitment process. AI is used to structure and summarise information – all decisions are made by people.