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NTT DATA

<div>We&rsquo;re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women&rsquo;s Business Network, Cultural and Ethnicity Network, LGBTQ+ &amp; Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA
Primary Responsibilities:
<ul><li>Client Engagement &amp; Delivery
</li><li>Data Pipeline Development (Batch and Streaming)
</li><li>Snowflake &amp; Cloud Data Platforms
</li><li>Data Architecture &amp; Modelling
</li><li>Collaboration &amp; Best Practices
</li><li>Quality, Governance &amp; Security 
</li></ul>Business Relationships:
<ul><li>Solution Architects
</li><li>Data Engineers, Developers, ML Engineers and Analysts
</li><li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
</li></ul>Competencies / Critical Skills: 

<ul><li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
</li><li>Strong consulting values with ability to collaborate effectively in client-facing environments.
</li><li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
</li><li>Strong problem-solving, analytical, and communication skills.
</li><li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions. 
</li></ul>Technical Expertise:
<ul><li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
</li><li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
</li><li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
</li><li>Hands-on experience with cloud platforms (AWS, Azure, GCP).
</li><li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
</li><li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
</li><li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
</li><li>Understanding of data governance, security, and compliance frameworks.
</li><li>Exposure to AI/ML workloads desirable. 
</li></ul>Experience, Qualifications, and Education:
<ul><li>Experience: Minimum 5&ndash;8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
</li><li>Education: University degree required.
</li><li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
</li><li>Snowflake certifications (SnowPro Core, Advanced) highly desirable. 
</li></ul>Measures of Success:
<ul><li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
</li><li>High client satisfaction and successful adoption of Snowflake-based solutions.
</li><li>Demonstrated ability to innovate and improve data engineering practices.
</li><li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.
</li></ul>We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data &amp; AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients. 
 
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.</div>

Snowflake Data Engineer

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.
Required skills &amp; experience:<ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</div>

Lead Data Scientist (Classical ML, LLMs & AI Agents)

legalandgeneral

<div>Company Description 
Legal &amp; General (L&amp;G) is a leading UK financial services group and major global investor.
We&rsquo;ve been safeguarding people&rsquo;s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
We are one of the world&rsquo;s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
Who we are
Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement.
We&rsquo;re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys.
We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways. 
Job Description 
We are seeking a Senior Software Engineer to join a high‑performing engineering team delivering robust, scalable, and high‑quality software solutions. In this role, you will apply your technical expertise and strategic mindset to design and build new features, resolve complex issues, address technical debt, and continually improve engineering practices. You will play a key role in shaping how the team works and ensuring we deliver meaningful value and excellent outcomes for our customers.
What you'll be doing:<ul><li>
Building clean, maintainable features and resolving end‑to‑end issues by evaluating multiple approaches to deliver effective, high‑quality customer outcomes</li><li>
Ensuring solutions are fit for purpose, deliver business value, meet quality standards, and align with established engineering practices</li><li>
Contributing to the strategy and management of technical debt to maintain secure, resilient, and reliable systems</li><li>
Defining and supporting test approaches and strategies that prioritise security, usability, accessibility, and overall customer experience</li><li>
Reviewing code with a focus on functional and non‑functional requirements, including performance, resilience, maintainability, and security</li><li>
Promoting continuous inspection and adaptation to improve team effectiveness, culture, and ways of working</li><li>
Coaching and mentoring engineers to foster collaboration, mutual respect, engagement, and ongoing skill development</li><li>
Researching emerging technologies and sharing knowledge to improve solutions, while championing fair treatment of customers and stakeholders</li></ul>
Who we're looking for:<ul><li>
Hands‑on experience building and supporting large, production‑grade backend systems using Java/JVM technologies (Java 17+/Kotlin) and JVM Spring or Node.js&ndash;based REST microservices</li><li>
Strong proficiency in JavaScript and TypeScript, including working with Angular or related frameworks from either a web or backend‑leaning background</li><li>
Deep understanding of clean code, clean architecture, and layered backend designs (e.g. three‑tier, hexagonal, onion), with the ability to align engineering choices to business goals such as scalability, quality, and maintainability</li><li>
Solid knowledge of database composition and SQL, alongside experience designing APIs and an understanding of web, API, and distributed cloud security best practices</li><li>
Proven ability to deliver well‑optimised, maintainable software features; analyse and resolve complex technical problems; and contribute high‑quality, actionable feedback through code reviews</li><li>
Strong practitioner of test‑driven development and the testing pyramid, with experience working in Agile/Scrum environments using Git, Git Flow, and CI/CD pipelines</li><li>
Excellent English communication skills, with the ability to work effectively in teams, facilitate technical discussions and workshops, and ensure alignment toward shared goals</li><li>
Demonstrates sound decision‑making, process thinking, and mentoring capability, holds accountability for outcomes, and takes ownership of continuous learning and team capability development</li></ul>
Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:<ul><li>
The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes</li><li>
Generous pension contribution</li><li>
Life assurance</li><li>
Healthcare Plan (permanent employees only)</li><li>
At least 25 days holiday, plus public holidays, 26 days after 2 years&rsquo; service. There&rsquo;s also the option to buy and sell holiday</li><li>
Competitive family leave</li><li>
Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)</li><li>
There are the many discounts we offer &ndash; both for our own products and at a range of high street stores and online</li><li>
We&rsquo;re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience</li></ul> 

Additional Information<div></div> 
At L&amp;G, we believe it's possible to generate positive returns today while helping to build a better future for all.
If you join us, you&rsquo;ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.
We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.
It doesn&rsquo;t matter if you don&rsquo;t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.</div>

Senior Software Engineer (Java)

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models. It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Partner Forward Deployed Engineer III, Generative AI (French, German)

JPMorganChase

<div>JOB DESCRIPTION 
 
 
As a Lead Software Engineer at JPMorganChase within the CIB &ndash; Markets Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities<ul><li>
Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond routine approaches to build solutions and break down complex technical problems.</li><li>
Develop secure, high-quality production code, and review and debug code written by others.</li><li>
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</li><li>
Apply knowledge of tools within the Software Development Life Cycle (SDLC) toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability and resiliency of software applications and systems.</li><li>
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.</li><li>
Lead and contribute to communities of practice across Software Engineering; promote awareness and use of new and leading-edge technologies aligned to enterprise standards.</li><li>
Foster a team culture of diversity, opportunity, inclusion, and respect.</li></ul>
Required Qualifications, Capabilities, and Skills<ul><li>
Formal training or certification on software engineering concepts and advanced applied experience.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability.</li><li>
Advanced proficiency in one or more programming languages (e.g., Java).</li><li>
Proficient in all aspects of the SDLC and advanced understanding of agile methodologies and practices, including CI/CD, Application Resiliency, and Security.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., coding, code review, test acceleration, troubleshooting), including the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.</li><li>
In-depth knowledge of the financial services industry and its IT systems.</li><li>
Practical cloud-native experience at scale.</li></ul>
Preferred Qualifications, Capabilities, and Skills<ul><li>
Experience with emerging technologies and architectural patterns.</li><li>
Strong communication and collaboration skills; ability to mentor and guide junior engineers.</li><li>
Familiarity with regulatory and compliance requirements in financial services.</li><li>
Experience working in global, cross-functional teams.</li><li>
Passion for continuous learning and professional development; ability to drive innovation and influence technology strategy.</li></ul> 
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Java Lead Software Engineer

<div>JOB DESCRIPTION 
 
 
Join us to directly influence the future of technology at JPMorganChase. As a Senior DevSecOps Architect, you'll collaborate with top cybersecurity and engineering talent, solving complex challenges and enabling safe, secure innovation. Your passion for security and drive to make a real impact are valued here. Grow your skills in a dynamic environment designed for achievers. Help us build products that prioritize security from the start.
Job Summary:
As a Senior DevSecOps Architect in the Cybersecurity &amp; Technology Controls team for International Consumer, you will proactively partner with technology and business colleagues to identify and address security issues. You will embed security culture, lead threat modeling, and drive architecture reviews to ensure our products are secure by design. Your role will be pivotal in managing emerging risks, influencing product strategy, and serving as the subject matter expert for the DevSecOps strategy as well as embedding automated security controls into CI/CD pipelines. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing and emerging technologies.
Job Responsibilities:
<ul><li>Pipeline Security Architecture - Design, implement, and continuously improve security architecture for CI/CD pipelines and DevOps toolchains, ensuring automated security checks are embedded at every stage from code commit to production deployment.</li>
<li>Security-as-Code Leadership - Champion Infrastructure as Code (IaC) and Security-as-Code practices, including policy enforcement, security linting, and automated compliance validation across cloud environments.</li>
<li>Threat Modeling &amp; Architecture Reviews - Lead advanced threat modeling (e.g., STRIDE-LM) for pipelines, microservices, and cloud-native applications, and conduct architecture reviews to drive adoption of secure design patterns.</li>
<li>Automated Guardrails at Scale - Design and deploy automated preventive and detective guardrails to proactively reduce risk across CICD pipelines, cloud and SaaS environments.</li>
<li>Security Culture &amp; Enablement - Cultivate a security-first culture across product, technology, and business teams by providing developer-friendly tooling, training, and reusable secure patterns that accelerate rather than hinder delivery.</li>
<li>Risk &amp; Issue Management - Act with urgency to manage emerging security issues, monitor risk indicators, and recommend resolutions. Serve as the escalation point for IT Risk and Cyber domains related to DevSecOps and Change Management.</li>
<li>Stakeholder Partnership - Partner with engineering leads, product owners, and vendors to ensure effective technology risk management, translating regulatory and policy requirements into actionable, engineer-friendly controls.</li>
<li>Audit &amp; Regulatory Support - Support audit, regulatory, and risk activities by providing evidence of control effectiveness and translating compliance requirements into automated, repeatable processes.</li>
<li>Continuous Improvement - Identify and address unfamiliar technology components, share best practices, and influence peers to drive continuous improvement in DevSecOps maturity across the organization.</li>
</ul>Required Qualifications, Capabilities, and Skills:
<ul><li>Advanced threat modeling experience (e.g., STRIDE-LM) for DevOps/CICD Pipelines and toolchains.</li>
<li>Expert ability to advise and influence secure pipeline architecture using Policy-as-Code and automated gates.</li>
<li>Hands-on security expertise in AWS and GCP.</li>
<li>Practical experience creating reference architectures and patterns for engineering teams.</li>
<li>Proven ability to design and deploy automated preventive and detective guardrails at scale.
</li><li>Expertise in leveraging IaC scanning to detect misconfigurations and compliance violations across Terraform and Kubernetes manifests</li>
<li>Hands-on experience in integrating a comprehensive DevSecOps tooling stack, including SAST, SCA, RASP, IAST, container and image scanning, secrets detection, and AI-powered DAST solutions</li>
<li>Experience implementing and managing SBOMs to track internal, third-party risk and supply chain security.</li>
<li>Ability to solve design and functionality problems independently.</li>
<li>Strong written and verbal communication skills.</li>
<li>Demonstrated success in influencing peers and stakeholders.</li>
<li>Ability to evaluate and recommend emerging technologies for future state architecture.</li>
</ul>Preferred Qualifications, Capabilities, and Skills:
<ul><li>Shift-Left/Start-Left Evangelism - A proven track record of mentoring developers and fostering a culture where security is a shared responsibility</li>
<li>Relevant certifications: AWS Certified Security - Specialty, GCP Professional Cloud Security Engineer, CISSP, CKS, OSCP.</li>
<li>Experience operating in regulated organizations with a 3LoD model.</li>
<li>Willingness to challenge existing processes respectfully.</li>
<li>Experience translating policy and regulatory requirements into control design for engineers and architects.</li>
<li>Proven ability to upskill and learn modern technologies.</li>
<li>Experience in financial services consumer businesses or Fintech organizations.</li>
</ul>#ICBCareers
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Senior DevSecOps Architect

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in London to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (UK-based)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
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 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
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 Self-motivated and comfortable working independently in an async environment
 
 
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 </ul>
 
 Nice to Have
 
 
 
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 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
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 Experience with model evaluation, cloud deployment, or production ML systems
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 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
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 Background in data labeling, RLHF, or other AI training workflows
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 Prior experience with code review or technical writing
 
 
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 </ul>
 
 Why Join Us
 
 
 
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 Work on cutting-edge AI projects alongside leading research labs and top AI teams
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 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
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 Freelance autonomy with the structure of meaningful, task-based work
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 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
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 High-performing contributors take on expanded responsibilities and lead new programs
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 Potential for ongoing work and contract extension as new projects launch
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 </ul>
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Software Engineer – Machine Learning (AI Training)

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