Coforge U.K. Ltd

About the Company

Coforge is a global digital services and solutions provider, that enables its clients to transform at the intersect of domain expertise and emerging technologies to achieve real-world business impact. A focus on very select industries, a detailed understanding of the underlying processes of those industries, and partnerships with leading platforms provides us with a distinct perspective. Coforge leads with its product engineering approach and leverages Cloud, Data, Integration, and Automation technologies to transform client businesses into intelligent, high-growth enterprises. Coforge's proprietary platforms power critical business processes across its core verticals. The firm has a presence in 21 countries with 26 delivery centers across nine countries.

Coforge is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

Listed Jobs

Company Name

Coforge U.K. Ltd

Job Title

AI & Automation Transformation QE Leader

Job Description

**Job Title:** AI & Automation Transformation QE Leader **Role Summary:** Lead a large-scale quality engineering transformation, modernizing testing practices from traditional to AI-powered, automation-first methods for rapid, scalable software delivery across an enterprise. **Expectations:** - Deliver strategic transformation aligned with business goals. - Scale AI and automation across testing domains. - Drive continuous learning and cultural shift within QE teams. **Key Responsibilities:** - Define and execute multi‑year AI/automation transformation roadmap. - Introduce AI‑powered testing (predictive analytics, self‑healing scripts, intelligent test generation). - Enhance automation maturity for functional, regression, performance, and security testing. - Develop tooling strategy, evaluate, select, and integrate premium automation and AI test platforms. - Lead change management and enablement programs for upskilling teams in AI/ML and advanced automation. - Partner with engineering, product, and business leaders to embed quality in the SDLC. - Establish KPIs (automation coverage, defect leakage, cycle time) and report ROI to senior leadership. **Required Skills:** - 15+ years in quality engineering with 5+ years leading large‑scale transformation. - Proven implementation of AI and automation strategies in enterprise settings. - Deep knowledge of AI/ML concepts for software testing. - Hands‑on expertise with Selenium, Cypress, Playwright, AI testing tools, CI/CD pipelines. - Strong leadership, influence, and stakeholder communication. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Certifications in AI/ML or advanced test automation preferred.

Milton keynes, United kingdom

On site

13-01-2026

Company Name

Coforge U.K. Ltd

Job Title

Data Engineer

Job Description

**Job Title:** Data Engineer (AI/ML Focus) **Role Summary:** Lead the design, development, and deployment of advanced machine learning and AI solutions for large-scale data environments. Responsible for building end-to-end machine learning pipelines, from data preprocessing to model production, and collaborate with cross‑functional teams to translate business challenges into scalable AI products. **Expectations:** - 12+ years of experience in data science or AI engineering. - Proven track record of delivering production‑ready machine learning and deep learning models. - Strong analytical mindset and ability to communicate complex findings to non‑technical stakeholders. **Key Responsibilities:** 1. Design, develop, and optimize machine learning and deep learning models (regression, classification, clustering, etc.). 2. Build and manage robust data pipelines, feature engineering workflows, and model training orchestration. 3. Deploy models to production, set up monitoring, and perform performance tuning and A/B testing. 4. Collaborate with Product, Engineering, and Business teams to convert business problems into AI solutions. 5. Document models, experiments, and technical processes for reproducibility and knowledge transfer. **Required Skills:** - Classical ML: regression, classification, clustering, predictive analytics. - ML model optimisation techniques. - Proficiency in Python (NumPy, Pandas, Scikit‑learn). - Hands‑on experience with deep learning frameworks: TensorFlow, PyTorch, or Keras. - NLP and/or Computer Vision experience. - SQL/NoSQL database knowledge; big‑data tools (Spark, Hadoop). - MLOps: Docker, Kubernetes, CI/CD pipelines. **Preferred Skills:** - LLMs / Generative AI (OpenAI, Hugging Face, LangChain). - Cloud platforms: AWS, Azure, or GCP. - Building AI APIs and microservices. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field (PhD preferred for research roles). **Required Certifications:** - None specified; relevant cloud or ML certifications (e.g., AWS ML, GCP AI, TensorFlow) are advantageous.

Waterside, United kingdom

On site

Senior

22-01-2026

Company Name

Coforge U.K. Ltd

Job Title

Lead Data Scientist

Job Description

**Job Title**: Lead Data Scientist **Role Summary**: Senior leader responsible for end‑to‑end data science projects, delivering scalable data models, large‑language‑model (LLM) solutions, and cloud‑native deployments on AWS and Azure. **Expectations**: 10+ years of progressive data science experience; proven track record in leading multidisciplinary teams and launching production ML systems. **Key Responsibilities**: - Own the full data science life cycle: problem definition, data acquisition, feature engineering, model development, evaluation, and production deployment. - Design and implement robust data models that support LLM‑based applications and traditional ML workflows. - Architect cloud solutions on AWS and Azure, including data ingestion pipelines, storage, computing, and model serving infrastructures. - Write and maintain SQL queries for data extraction, transformation, and reporting. - Mentor and guide junior data scientists and engineers, fostering best practices in experimentation, version control, and reproducibility. - Collaborate with data engineering, product, and business stakeholders to translate requirements into technical solutions. - Monitor model performance in production, conduct root‑cause analysis, and iterate to improve accuracy and efficiency. - Present findings to technical and non‑technical audiences, articulating insights, trade‑offs, and business impact. **Required Skills**: - Advanced data modeling (relational, dimensional, graph) - Design and deployment of LLM solutions (LLM fine‑tuning, prompt engineering, serving) - Proficiency in AWS (SageMaker, Redshift, Glue, Lambda) and Azure (ML, Synapse, Data Factory) - Strong SQL proficiency for data manipulation and analysis - Deep understanding of classical machine‑learning algorithms (regression, tree‑based, clustering, etc.) - Experience with ML pipeline tooling (MLflow, Kubeflow, Airflow) - Knowledge of big‑data ecosystems (Spark, Hadoop) is advantageous - Version control (Git), containerization (Docker), and CI/CD practices **Required Education & Certifications**: - Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field - Professional certifications such as AWS Certified Machine Learning – Specialty, Azure Data Scientist Associate, or equivalent are preferred.

Houston, United states

On site

Senior

26-01-2026

Company Name

Coforge U.K. Ltd

Job Title

Data Scientist

Job Description

**Job Title:** Data Scientist **Role Summary:** Develop, deploy, and industrialize machine‑learning and optimization models for an operations‑decision support product, ensuring seamless integration across data pipelines, user interfaces, and orchestration platforms. **Expectations:** Deliver end‑to‑end data‑science solutions that improve decision‑making efficiency, maintain high model robustness and scalability, and communicate results to technical and non‑technical stakeholders. **Key Responsibilities:** - Build and maintain automated data‑cleaning pipelines (Python, SQL). - Prototype and production‑grade supervised, unsupervised, and optimization models (scikit‑learn, pandas, numpy, Gurobi, etc.). - Implement algorithm integration with workflow orchestration (Dagster/Airflow). - Deploy models to cloud environments (AWS, SageMaker) using CI/CD pipelines (GitHub Actions, Docker, ECS). - Design and execute unit, integration, and regression tests; create logging and error‑handling frameworks. - Quantify adoption and business value of decision‑support features. - Gather and prioritize business requirements; engage with stakeholders and cross‑functional teams. - Maintain code quality through Git best practices, pull‑request reviews, and documentation. **Required Skills:** - Strong Python programming with focus on software best practices (typing, classes). - Proficiency in ML/optimization libraries: scikit‑learn, pandas, numpy, Gurobi, OR tools; experience with clustering, regression, tree models, linear/MIP, and heuristics. - Experience with cloud platforms (AWS preferred), containerization (Docker), and cloud‑ML services (SageMaker). - Familiarity with experimentation and model tracking (MLflow, DVC). - Knowledge of CI/CD tools and pipeline orchestration (Airflow/Dagster). - SQL data engineering skills; ability to build scalable data pipelines. - Advanced analytical abilities; adept at visualizing outcomes with seaborn, matplotlib, or similar. - Excellent written and verbal communication for stakeholder presentations. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Operations Research, or related field. - Certification in cloud computing (AWS Certified Data Analytics or equivalent) or ML operations is a plus.

Waterside, United kingdom

On site

05-02-2026