Data scientist 4 Work, Jobs in Filton, Gls (with Salaries)

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Data Scientist 4

Lam Research -
Bristol

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Job details

Qualifications

TensorFlow
Doctoral degree
Signal processing
PyTorch
Software deployment
C#
R
Master's degree
Bachelor's degree
Machine learning
Distributed systems
Physics
IT
Data science
Electrical Engineering
Python

Full job description

Requisition ID

194664

Date posted

02/17/2026

Work Location Model

On-site Flex

Work Location

Bristol

Work Country

United Kingdom

The group you’ll be a part of

Metior product line works on the development of advanced systems for process diagnostics and metrology of semiconductor wafers. The group falls under CSBG (Customer Support Business Group) upgrades and metrology enabling our customers with premier customer support throughout their lifecycle with Lam. Along with R&D innovation, we drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.

The impact you’ll make

We are seeking a seasoned and visionary data scientist to lead the design, development and implementation of advanced computer vision as well as machine learning/deep learning algorithms. Ideally a datascientist with a physics background, the candidate is expected to lead the development of Metior’s equipment intelligence, AI/ML infrastructure, ensuring the creation of robust, scalable, and innovative solutions. The ideal candidate will combine deep technical expertise in data science and analytics with a strategic mindset to drive the development of cutting-edge AI/ML algorithms. This position requires understanding of the productization and deployment of ML solutions.

What you’ll do

Responsibilities

Design, Development and implementation of advanced machine learning algorithms as well as physics-based software solutions for our hybrid metrology systems including optical metrology solutions.
Design and development of sophisticated algorithms for image segmentation and classification specific to our metrology systems
Provide strategic direction for the integration of advanced analytics, machine learning, and AI technologies.
Select and evaluate data science tools, frameworks, and platforms to build a cohesive and efficient data science ecosystem.
Hands On ML Model development and derive the right solutions for complex problems. Rapid prototyping and validation of new machine learning as well as deep learning algorithms.
Work closely with software, system engineering and data-science teams to integrate algorithms into product systems as well as contributing to cross-functional innovations.

Work with internal and external customer and stakeholders to define the requirements for next generation ML algorithm requirements to solve challenging customer problems
Datascience related escalation management and troubleshooting potential issues from the field systems
Prepare presentations to all stakeholders and be able to host design reviews
Collaborate effectively with global development teams to ensure seamless deployment and continuous improvement. Stay abreast of emerging technologies to ensure the continuous evolution of our data science capabilities.

Who we’re looking for

Technical Skills
- Extensive experience with data analytics, supervised and unsupervised machine learning including regression models, decision trees, feature engineering, frameworks like Pytorch, TensorFlow, SciKit-learn etc. Familiarity with MLOps with Databricks is a strong advantage.
- Strong background in optical physics, numerical simulations, advanced signal processing, computer vision and spectroscopy. Experience working with and handling huge datasets from advanced sensors and imaging systems.
- Proficiency in programming languages (e.g., Python, R) and familiarity with data science libraries and frameworks. Familiarity with C# is an added advantage
- Ability to analyze large datasets and validate models for accuracy, robustness and reliability. Experience with ML deployment and monitoring strategies to track model performance over time and address issues proactively.
- Ability to work cross‑functionally and communicate complex modelling concepts to mixed engineering audiences. Curiosity-driven and a structured problem-solver
- Background in parallel/distributed computing, profiling and optimization for computation and memory
- Experience working in the development of semiconductor capital equipment systems is preferable.
Qualifications
- PhD or MSc in Physics, Applied Physics, Electrical Engineering, Optical Engineering or related field with strong modelling/analytical background.
- a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

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