Computational Modeller Job at 360 Resourcing Solutions (Stone, Staffordshire)

Computational Modeller

This is a rare opportunity to be at the forefront of computational materials sci...

Location

United Kingdom , Stone, Staffordshire

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

MSc or PhD in a science or engineering discipline
Experience in computational modelling or materials processing
Strong technical capability in finite element analysis—preferably with COMSOL
Experience in areas such as thermal, mechanical, electrical (AC/DC), or multiphysics simulation
Solid understanding of materials science (experience in advanced ceramics is an advantage)
Excellent analytical and problem‑solving skills
Ability to communicate complex technical concepts clearly to both specialists and non‑specialists
Passion for collaboration with industry and academia
Ability to build strong, trusting relationships with clients and partners

Job Responsibility

Develop and enhance Lucideon’s material and process modelling capabilities using COMSOL and other finite element tools
Create bespoke models and contribute to the development of innovative modelling platforms
Work closely with industrial and academic partners to build models that support manufacturing process optimisation
Interpret modelling outputs to help solve complex engineering and materials challenges across the sector
Act as a champion for computational modelling-helping clients and partners understand its technical and financial benefits
Support the development of digital twins focused on sintering and ceramic production processes

What we offer

Private Medical Insurance
Medical Cash Plan
25 days’ annual leave plus bank holidays (including Christmas shutdown)
Pension scheme (with Life Assurance up to four times basic salary)

Fulltime

Ai Technology And Innovation Engineer

The AI Solutions Engineer is an advanced subject matter expert, responsible for ...

Location

South Africa , Johannesburg

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Advanced understanding of artificial intelligence, natural language processing (NLP), and machine learning principles
Advanced expertise in selecting, fine-tuning, and deploying large and small language models (LLMs/SLMs), such as OpenAI’s GPT series and open-source alternatives
Advanced proven experience with prompt engineering, prompt optimization, and AI model reliability and accuracy improvements
Advanced proficiency in Python programming, essential for rapid prototyping, integration, and model implementation. Python is the preferred language for AI
strong proficiency in Python is essential due to the extensive use of frameworks, libraries, and models
Advanced knowledge of additional programming languages (optional, but valuable): JavaScript / TypeScript: Helpful if building frontend interfaces or web integrations
Java / C#: Beneficial for integrations with enterprise backend systems (e.g., ERP, CRM)
Advanced familiarity with full-stack software development, including frontend and backend integration, user experience considerations, and system interoperability
Robust knowledge of data pipeline development, data engineering concepts, and handling of structured and unstructured data
Advanced proficiency in cloud computing platforms (Azure, AWS, GCP), particularly in deploying, scaling, and managing AI workloads

Job Responsibility

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices

Fulltime

Ai Risk Management Administrator

Location

United States , Dublin

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field
5+ years of experience in AI/ML, data science, model governance, or technology risk management (not just general IT risk)
Demonstrated experience implementing or operationalizing governance frameworks (e.g., AI governance, model risk management, data governance)
Strong understanding of AI risks, including bias, explainability, model drift, data quality, and security vulnerabilities
Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance)
Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance)
Strong analytical, problem-solving, and stakeholder management skills

Job Responsibility

Support the design, implementation, and continuous improvement of the enterprise AI governance structure, including operating models, roles, committees, and decision-making frameworks
Administer and maintain the AI risk management framework, including policies, standards, controls, and procedures, ensuring alignment with evolving governance needs
Bridge governance strategy and execution by supporting the operationalization of AI policies and standards across business and technical teams
Support AI system risk assessments across the AI lifecycle (design, development, deployment, operation, and retirement)
Maintain AI inventories, model documentation, risk registers, and audit artifacts (e.g., model cards, data lineage, controls evidence)
Monitor compliance with internal AI governance standards and external regulations (e.g., privacy, security, ethical AI requirements)
Coordinate governance forums and reviews with legal, compliance, security, and internal audit teams to address AI-related risks and ensure alignment with governance expectations
Track AI risk metrics, incidents, and remediation actions
prepare reports for leadership, risk committees, and regulators
Support third-party and vendor AI risk reviews, including due diligence and ongoing monitoring

What we offer

medical, vision, dental, and life and disability insurance
401(k) plan

AI Forward Engineer

Reporting to the Director of Engineering, we are seeking an AI Forward Engineer ...

Location

United States

Salary:

Not provided

Tyfone

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related field
4–7 years of software engineering experience, with at least 2 years shipping AI/LLM-powered systems to production
Strong Python (primary) and/or TypeScript
Hands-on experience with LLM APIs — prompt engineering, function calling, tool use, agent patterns
Demonstrated experience building guardrails or safety systems for AI: PII masking, output filtering, audit logging
Practical understanding of model risk management — documentation, validation, monitoring
Experience with at least one relevant framework: LangChain, LlamaIndex, Semantic Kernel, Guardrails AI, or Microsoft Promptflow
Solid security fundamentals: OAuth 2.0, secret management, least-privilege API access
Experience with Azure (App Services, Azure OpenAI, Key Vault, Monitor) or equivalent cloud platform
Comfort working in a regulated industry — or proven ability to learn fast and partner with compliance teams to ensure AI systems meet regulatory expectations

Job Responsibility

Forward Deployment & Client AI Solutions: Embed with credit union partners to identify high-value AI use cases
Translate field requirements into production AI features that ship to that FI within weeks
Customize AI workflows per institution while preserving a reusable core
Run AI-enablement sessions with FI leadership, ops, and member service teams
Operate as the technical face of Nuuvia AI to credit unions
AI Systems & Model Engineering: Own model selection
Build agent and RAG pipelines using frameworks such as LangChain, LlamaIndex, Semantic Kernel, Microsoft Promptflow, or in-house equivalents
Implement prompt engineering, function calling, tool use, and multi-step agent patterns
Maintain a model registry
Monitor for model drift, hallucination rates, and output degradation

What we offer

Competitive salary and bonus structure
Comprehensive benefits package including health, dental, and 401(k)
Dynamic work environment with passionate, driven colleagues
Opportunity to shape the future of digital banking and payments on a global scale

Fulltime

Head of Enterprise Architecture

Define and maintain the enterprise architecture strategy and roadmap to support ...

Location

Egypt , New Cairo

Salary:

Not provided

Ethics HR

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s degree in Computer Science, Information Technology, Enterprise Architecture, or related field from a reputable university
Minimum of 10 years of experience in enterprise architecture, IT strategy, or technology leadership within banking or financial services with 3 years in a leadership role managing teams or departments
Desirable Certification / TOGAF 10 & COBIT 2019
Strong understanding of CBE regulations, IT governance, and risk management frameworks
Expertise in cloud platforms, core banking systems, digital banking technologies, and integration frameworks
Excellent oral and written communication skills
Strong stakeholder management, strategic thinking, and analytical skills
Ability to lead complex transformation initiatives in a fast-paced, start-up environment

Job Responsibility

Define and maintain the enterprise architecture strategy and roadmap to support business objectives and digital transformation initiatives
Design and enforce technology standards, frameworks, and guidelines across applications, infrastructure, and data
Collaborate with business, technology, and risk teams to ensure solutions are aligned with regulatory, security, and operational requirements
Evaluate and select technology platforms, tools, and solutions to optimize scalability, security, and efficiency
Review and approve architectural designs, ensuring consistency with enterprise standards and best practices
Provide governance over project architecture to ensure adherence to EA principles and minimize technical debt
Conduct impact assessments for new technology initiatives and provide recommendations to senior leadership
Develop and maintain documentation of architectural artifacts, reference models, and guidelines
Mentor and lead the EA team, fostering a culture of innovation and compliance

Cluster Assistant Purchasing Manager

At Marriott International, we are dedicated to being an equal opportunity employ...

Location

Indonesia , Seminyak

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

High school diploma or G.E.D. equivalent
At least 1 year of related work experience
No supervisory experience
None

Job Responsibility

Check figures, postings, and documents for accuracy
Organize, secure, and maintain all files, records, cash and cash equivalents in accordance with policies and procedures
Record, store, access, and/or analyze computerized financial information
Classify, code, and summarize numerical and financial data to compile and keep financial records, using journals, ledgers, and/or computers
Prepare, maintain, audit, and distribute statistical, financial, accounting, auditing, or payroll reports and tables
Complete period-end closing procedures and reports as specified
Prepare, review, reconcile, and issue bills, invoices, and account statements according to company procedures
Follow-up and resolve past due accounts and vendor invoices until payment in full is received or resolved
Coordinate tasks and work with other departments
serve as a departmental role model or mentor

Fulltime

Senior Software Engineer

As a Sr. Software Engineer in Test, you will play a crucial role in the success ...

Location

United States , Washington

Salary:

156000.00 - 196000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Master's degree in Mathematics, Computer Science or related disciplines
7+ years of hands-on experience in Web Application, Mobile, SaaS, and RESTful API testing
7 or more years of hands-on test automation development, with experience building a test automation suite from the ground up
7 or more years of hands-on working experience in traditional OOP programming languages, specifically C# (with .NET core and NUnit / XUnit / MSTest)
Hands on experience with IOS and Android hybrid/native mobile applications testing and test automation using Appium/Selendroid
Work closely with Product/UX designers to discuss and give feedback about customer perspective for UI/UX designs from QE
Hands on experience with testing, analyzing and troubleshooting communication between mobile apps and API
Configure CI/CD tool to run regression Appium/Selendriod automated tests
Experience in testing integration solutions for batch, API and event driven architectures
Experience with testing various integration patterns, styles and technologies and API gateway

Job Responsibility

Create Web application, Mobile App and API automation utilizing tools and frameworks already in place to ensure future automation coverage of all features
Build Mobile App test automation for both IOS/Android using Appium
Experience in testing Hybrid/Native IOS/Android Mobile Applications
Build and add to Automation Regression Test Harness
Experience in testing on virtual emulators using device farms
Drive improvements and provide recommendations by using or creating tools and contributing to the automation framework already in place
Independently identify and assess risks and develop mitigation steps and processes to be put in place for projects, while collaborating on technical designs, management of dependencies, and efficacy of valid test data to ensure successful and high-quality deliverables
Execute Quality Engineering (QE) forensics and detailed root cause analysis of test failures, reported defects, and performance and scalability issues
Provide technical leadership to other QE staff as the QE discipline and team grows, acting as an agent of change for a quality-first culture within the organization
Execute on QE compliance objectives and appropriate metrics to measure success

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Senior ML/AI Modeler, Risk Automation Machine Learning

The Risk Automation ML team automates Risk and Compliance investigations and dec...

Location

United States , Seattle

Salary:

Not provided

Cash App

Expiration Date

Until further notice

Requirements

8+ years of Machine Learning modeling experience
Full stack ML experience is strongly preferred
A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
3+ yrs experience with AI engineering, Large language models, and a background in traditional NLP techniques is a strong plus for this role
End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale
Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders that have significant business impact
Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value

Job Responsibility

Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether
Own the end to end system including API calls to disparate data sources, advanced prompt tuning, orchestration, metrics and evaluation, productionization and monitoring
Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build transformer based ML models to improve downstream detection tasks
Work cross functionally with product, platform, engineering and operational stakeholders to deploy production grade systems and monitor and tune ongoing performance
Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done
Leverage agentic tools (Claude Code/Codex/Openclaw) to supercharge your research, development, devOps and documentation work as part of your day to day

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

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Computational Modeller

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