production engineer

Soros Fund Management

<div>
 <strong>
  Company Overview
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  <br/>
 </strong>
 Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1970. With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world&rsquo;s largest charitable foundations dedicated to advancing justice, human rights, and democracy.
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 Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it&rsquo;s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view in a wide range of strategies and asset classes, including public and private equity and credit, fixed income, foreign exchange, and alternative assets. Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations.
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 <br/>
 At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies.
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 Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact.
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 Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals.
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 <strong>
  Team Overview
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 </strong>
 Reports To: Head of Cloud SRE &amp; DevOps Engineering
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 Other Key Relationships: Cybersecurity analysts, Software Development engineers
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 <strong>
  Job Overview
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  <br/>
 </strong>
 We are seeking a mid-to-senior level engineer to join our Cloud SRE &amp; DevOps Engineering team in London, focused on building, operating, and evolving the cloud infrastructure and delivery platforms that support our trading and investment systems.
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 This role sits at the intersection of Cloud Engineering, SRE, DevOps, Platform Engineering, and Production Engineering, and is designed for individuals who take ownership of systems running in production. You will be responsible for designing and operating resilient, scalable environments across AWS and Kubernetes, while enabling engineering teams through modern DevOps and GitOps practices.
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 The position reflects a strong Site Reliability Engineering (SRE) mentality, with emphasis on reliability, observability, automation, and operational excellence. You will play a key role in advancing the firm&rsquo;s cloud transformation strategy, ensuring systems are built for performance, stability, and scale.
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 This is a hands-on role requiring deep technical expertise, accountability for production systems, and a mindset oriented toward continuous improvement, risk management, and engineering efficiency. The role also contributes to evolving platform capabilities supporting AI and data-driven workloads.
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 You will work closely with software engineering, cybersecurity, and data teams to deliver secure, scalable, and high-performing systems, while improving developer experience and platform maturity across the organization.
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 <strong>
  Major Responsibilities
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 </strong>
 Cloud Infrastructure &amp; Kubernetes
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 Design, build, and operate scalable AWS-based infrastructure supporting trading systems
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 Work across hybrid or multi-cloud environments (AWS and Azure)
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 Manage and optimize Kubernetes environments (EKS), ensuring resilience, scalability, and performance
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 Utilize Kubernetes ecosystem tooling (e.g., Helm) to support application deployment and lifecycle management
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 Develop reusable infrastructure using Terraform and infrastructure as code principles
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 Database Cloud Management &amp; Administration
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 Manage the automated delivery of Snowflake configurations through CICD pipelines
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 Help administration of Microsft SQLServer, Snowflake and AWS Aurora
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 CI/CD &amp; DevOps Practices
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 Design and maintain CI/CD pipelines using tools such as GitHub Actions
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 Promote Git-based workflows and support GitOps practices (e.g., ArgoCD)
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 Improve deployment reliability, consistency, and engineering velocity
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 Production Engineering &amp; Reliability
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 Own and operate business-critical production systems with a strong focus on uptime, performance, and risk mitigation
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 Troubleshoot and resolve complex issues across distributed systems, cloud infrastructure, and Kubernetes environments
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 Implement and enhance monitoring, logging, and alerting using tools such as Datadog, AWS CloudWatch, Geneos, and LogicMonitor
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 Apply cloud security best practices, including IAM, secrets management, and vulnerability scanning
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 Support and optimize relational database systems (e.g., PostgreSQL, MySQL, SQL Server, Aurora), ensuring performance and high availability
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 Contribute to backup, recovery, and resilience strategies across infrastructure and data layers
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 Drive improvements aligned with SRE principles, including reliability, observability, and operational maturity
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 Developer Enablement
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  Improve Developer Experience Through Automation, Standardization, And Self-service Capabilities
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 Partner with engineering teams to streamline development and deployment workflows
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 AI &amp; Emerging Workloads
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 Support infrastructure for AI/ML and data-driven workloads, including scalable compute and data processing patterns
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 Enable deployment patterns for modern, data-intensive applications
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 Evaluate emerging technologies relevant to AI-enabled platforms
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 <strong>
  What We&rsquo;re Looking For
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 Core Technical Expertise
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 Strong hands-on experience with AWS in production environments
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 Experience working in hybrid or multi-cloud environments (AWS and Azure)
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 Deep experience with Kubernetes and containerized systems (Docker, EKS)
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 Strong familiarity with Kubernetes tooling, including Helm
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  Proven Experience With Infrastructure As Code (Terraform Preferred)
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 Strong experience building and managing CI/CD pipelines (GitHub Actions or similar)
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 Proficiency in Python, Shell, or PowerShell for automation
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 Production &amp; Systems Engineering
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 Strong understanding of distributed systems, networking, and cloud architecture
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 Experience operating and supporting production systems with high availability and performance requirements
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 Experience diagnosing and resolving complex production incidents in distributed environments
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 Experience supporting relational databases (e.g., PostgreSQL, MySQL, SQL Server, Aurora) in cloud environments
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 Monitoring &amp; Observability
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 Hands-on experience with observability tools such as Datadog, AWS CloudWatch, Geneos, or LogicMonitor (or comparable enterprise monitoring platforms), including designing metrics, alerts, and dashboards for production systems
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 DevOps &amp; Engineering Practices
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 Strong grounding in DevOps methodologies, including automation, continuous delivery, and infrastructure standardization
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 Experience working with Git-based workflows and modern software engineering practices
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 Ability to balance speed, stability, and risk in production environments
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 Professional Attributes
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 Strong analytical and troubleshooting skills
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 Ability to operate effectively in high-performance, time-sensitive environments
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 Clear communication across technical and non-technical stakeholders
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 Ownership mindset with accountability for critical systems
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 <strong>
  Nice To Have
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 AI &amp; Data
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 Experience supporting AI/ML workloads or data platforms
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 Familiarity with LLM APIs, vector databases, or GPU-based environments
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 Exposure to modern data platforms such as Databricks, Google BigQuery, or Amazon Redshift
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 Financial Services
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 Experience supporting trading or investment systems
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 Understanding of trading workflows (OMS, order entry, trade booking), market data, or FIX protocol
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 <strong>
  What We Value
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 </strong>
 Bachelor's degree in Engineering, Computer Science, Information Systems, or equivalent experience.
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 Hands-on experience with cloud platforms such as AWS, Azure, and Snowflake, with a solid understanding of IaaS, PaaS, and SaaS in hybrid environments.
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 Experience in cloud infrastructure or server-side development, with a fundamental understanding of containerization and Kubernetes.
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 Proficiency in programming languages like PowerShell and Python, with experience in DevOps tools such as Terraform, Docker, and Kubernetes.
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 Deep understanding of CI/CD tools (e.g., Octopus, Bamboo, Azure DevOps, Git Actions) and configuration management.
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 Expertise in automation scripting, infrastructure as code (IaC), and immutable infrastructure using tools like AWS CloudFormation or Terraform.
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 Familiarity with observability frameworks (DataDog, OpenSearch, and LogicMonitor).
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 Familiarity with networking, storage, and database concepts.
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 Ability to craft clear, effective communications for both technical and non-technical audiences.
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 Strong analytical and troubleshooting skills, attention to detail, ability to multitask, and work effectively in a fast-paced environment.
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 Proficiency in writing scripts using Python, PowerShell, Bash, and experience with technologies like Docker, Lambda functions, and Kubernetes.
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 Hands-on experience with Terraform, Packer, Git, and Jira is considered a plus.
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 Integration with JIRA and GitHub is a plus
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 Experience in designing, developing, and implementing ETL/ELT processes using Snowflake and related technologies.
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 In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus.
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  In all respects, candidates need to reflect the following SFM core values:
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  Integrity // Teamwork // Smart risk-taking // Owner&rsquo;s Mindset // Humility
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  Discover how SFM continues to drive impactful investments and supports the global mission of the Open Society Foundations.
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</div>


Cloud SRE & DevOps Engineer

Airwallex

<div><h2 class="jobSectionHeader"><b>About Airwallex</b></h2><p>
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide &ndash; including Brex, Rippling, Navan, Qantas, SHEIN and many more &ndash; with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.</p><p>
Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you&rsquo;re ready to do the most ambitious work of your career, join us.</p><p></p><h2 class="jobSectionHeader"><b>
Attributes We Value</b></h2><p>
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you&rsquo;re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.</p><p>
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you &ldquo;get stuff done&rdquo; end-to-end. You use AI to work smarter and solve problems faster. Here, you&rsquo;ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let&rsquo;s build what&rsquo;s next.</p><p></p><p><b>
What you&rsquo;ll do</b></p><p>
Reporting directly to the CFO, you will shape the future of Airwallex&rsquo;s Finance. This is a high-impact role at the intersection of strategy, technology, and execution.</p><p></p><p>
You will define and deliver the future of Airwallex&rsquo;s global Finance function. Acting as the architect of the Finance systems landscape, you will diagnose gaps today, design the target state and build the solutions that get us there.</p><p></p><p>
You can see how processes, data, and platforms fit together; you can weigh build-versus-buy choices; and you can align stakeholders around a clear transformation journey.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Embed deeply with the global Finance teams, understanding their needs to identify the highest impact use cases</p></li><li><p>
Define and own the end-to-end AI transformation roadmap for Finance</p></li><li><p>
Own technical delivery from prototype to production</p></li><li><p>
Codify working patterns into building blocks that others can use</p></li><li><p>
Lead change management and upskilling initiatives to enable adoption of new tools</p></li><li><p>
Track, measure and communicate the outcomes of your work, ensuring accountability</p></li></ul><p></p><p><b>
Who you are</b></p><p>
We are looking for high-agency Builders. There are no layers of middle management or rigid ticketing queues here. You will hold complete end-to-end technical and product ownership&mdash;wearing the hat of a Product Manager to define the <i>what</i> and the <i>why</i>, and acting as a lead engineer to build the <i>how</i>.</p><p></p><p>
Minimum qualifications</p><ul><li><p>
5+ years of software or forward deployed engineering experience</p></li><li><p>
Strong Product Sense: You look at engineering through a commercial lens. You care about user experience, business impact, and why a product is being built, not just the code itself.</p></li><li><p>
Comfort with Ambiguity: You enjoy working in spaces where requirements aren't fully defined yet, and you can independently map out technical specs from high-level direction.</p></li><li><p>
Pragmatic Problem Solver: You are resourceful, self-directed, and focused on delivering outcomes, finding efficient ways to work through technical or institutional blockers.</p></li><li><p>
Clear Communication: Ability to discuss deep technical trade-offs with core infrastructure teams and present clear, simplified product outcomes to executive stakeholders.</p></li></ul><p></p><p>
Preferred qualifications</p><ul><li><p>
Strong academic credentials from a top-tier university.</p></li><li><p>
Experience in top-tier management consulting, systems integration, or digital transformation leadership roles</p></li><li><p>
Hands-on experience with finance systems (e.g. SAP, Oracle, Netsuite) and automation/AI tools (e.g. ML-based reconciliation, workflow platforms)</p></li><li><p>
Familiarity with data architecture, analytics, and business intelligence to support decision-making and measure impact</p></li><li><p>
Experience building software that leverages Generative AI, LLMs, or automated agent workflows.</p></li><li><p>
Experience in fintech, payments, multi-currency ledgering, or regulated financial systems.</p></li><li><p>
Prior experience as a founder, founding engineer or early employee</p></li></ul><h2 class="jobSectionHeader"><b>
Applicant Safety Policy: Fraud and Third-Party Recruiters</b></h2><p><i>
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @</i><i>airwallex.com</i><i> email address. Please apply only through </i><i>careers.airwallex.com</i><i> or our official LinkedIn page.</i></p><p><i>
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.</i></p><p></p><h2 class="jobSectionHeader"><b>
Equal opportunity</b></h2><p>
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don&rsquo;t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.</p></div>

Product Engineer, Finance

Accenture

<div><h2 class="jobSectionHeader"><b>Description</b></h2><p>
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.</p><p></p><p>
As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.</p><p></p><p>
This sits at the heart of the AI engineering talent market, demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability</li><li>
Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets</li><li>
Integrate and abstract across multiple LLM providers &mdash; OpenAI, Anthropic, Vertex AI, and open-source models &mdash; with fallback routing, token, cost, and latency management</li><li>
Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring</li><li>
Embed directly with client engineering teams to design, prototype, and deploy agentic solutions &mdash; workshops, proofs of concept, code-with sessions, and architecture walkthroughs</li><li>
Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster</li><li>
Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms</li></ul></div>
<br>
<div><h2 class="jobSectionHeader"><b>Basic Qualifications</b></h2><ul><li>
5+ years of software engineering experience in production environments</li><li>
Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment &mdash; non-negotiable</li><li>
Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent &mdash; at production depth, not tutorial level</li><li>
Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs</li><li>
RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering</li><li>
LLMOps fundamentals: eval harness design, prompt versioning, and production observability</li><li>
Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)</li><li>
Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience</li><li>
Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure</li></ul></div><p></p>

AI Native SW Engineering Specialist

Few&Far

<div>
 <p>
  🚨
  <strong>
   Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
  </strong>
  🚨
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 </p>
 <p>
  <br/>
 </p>
 <p>
  💰
  <strong>
   Up to &pound;525 per day
  </strong>
 </p>
 <p>
  📍
  <strong>
   London - 1 day per week onsite
  </strong>
 </p>
 <p>
  📄
  <strong>
   Outside IR35
  </strong>
 </p>
 <p>
  ⚡
  <strong>
   1-stage interview process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll be working on:
 </p>
 <p>
  ✅ Modernising data lake &amp; data warehouse architecture
 </p>
 <p>
  ✅ Designing, building and optimising ETL/ELT pipelines
 </p>
 <p>
  ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 </p>
 <p>
  ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 </p>
 <p>
  ✅ Writing high-performance SQL and production-quality Python
 </p>
 <p>
  ✅ Improving platform reliability, monitoring and CI/CD
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 <p>
  ✅ Collaborating with stakeholders to deliver scalable data solutions
 </p>
 <p>
  ✅ Mentoring junior engineers through code reviews and best practices
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
 </p>
 <p>
  ☁️ AWS
 </p>
 <p>
  🐍 Python
 </p>
 <p>
  🗄️ SQL
 </p>
 <p>
  🔄 Airflow (AWS)
 </p>
 <p>
  📊 Looker (nice to have)
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm keen to speak with Data Engineers who have:
 </p>
 <p>
  ✔️ Strong experience building production-grade data pipelines
 </p>
 <p>
  ✔️ Advanced SQL and Python skills
 </p>
 <p>
  ✔️ Experience deploying and supporting ML models in production
 </p>
 <p>
  ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 </p>
</div>


Senior Data Engineer

LiveKit

<div><h2 class="jobSectionHeader"><b>About LiveKit</b></h2><p>
LiveKit is building the infrastructure layer for the agentic era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for OpenAI, Salesforce, Spotify, Meta, and tens of thousands of other developers, collectively facilitating billions of calls each year.</p><p></p><h2 class="jobSectionHeader"><b>
About This Role</b></h2><p>
LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform.</p><p>
This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production.</p><p>
You'll work alongside customers' engineering teams to help them successfully deploy and scale applications built on LiveKit &mdash; designing architectures, building integrations, debugging production issues, and developing reference implementations that demonstrate best practices.</p><p>
This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You'll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform.</p><p>
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.</p><p></p><h2 class="jobSectionHeader"><b>
You'll Thrive Here If You:</b></h2><ul><li><p>
are obsessed with helping developers succeed</p></li><li><p>
are known as the go-to person for solving tricky technical issues</p></li><li><p>
work hard and can move fast without sacrificing quality</p></li><li><p>
care deeply about polish, detail, and clear communication</p></li><li><p>
are a fast learner, frequently picking up new tools, systems, and skills</p></li></ul><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><p>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</p></li><li><p>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</p></li><li><p>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</p></li><li><p>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</p></li><li><p>
Debug and troubleshoot complex technical issues in production environments</p></li><li><p>
Lead technical workshops and architecture sessions with developers and product teams</p></li><li><p>
Translate customer needs into technical insights that inform product and platform development</p></li><li><p>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</p></li><li><p>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</p></li><li><p>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Who You Are</b></h2><ul><li><p>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</p></li><li><p>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</p></li><li><p>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</p></li><li><p>
Experience building or integrating developer platforms or real-time systems</p></li><li><p>
Able to quickly understand complex systems and debug issues in real-world environments</p></li><li><p>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</p></li><li><p>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</p></li><li><p>
Excited to work hands-on with customers solving complex technical implementation challenges</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</p></li><li><p>
Familiarity with voice AI, conversational agents, or AI infrastructure</p></li><li><p>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</p></li><li><p>
Experience contributing to open-source projects or developer ecosystems</p></li><li><p>
Previous experience building with or integrating LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Our Commitment to You</b></h2><ul><li><p>
An opportunity to build something truly impactful to the world</p></li><li><p>
Contribute to open source alongside world-class engineers</p></li><li><p>
Competitive salary and equity package</p></li><li><p>
Health, dental, and vision benefits</p></li><li><p>
Flexible vacation policy</p></li></ul><p></p><p><i>
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.</i></p><p>
Compensation Range: &pound;126K - &pound;185K</p></div>

Forward Deployed Engineer

Worldpay

<div><p><b>Ready to take your career global?</b></p><p>
Make your mark at one of the biggest names in payments.</p><p>
We are seeking an experienced <b>Senior ML Software Engineer</b> to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators&mdash;including ML research engineers, product managers, and platform engineers&mdash;to deliver scalable, reliable, and low-latency ML solutions.</p><p>
In addition to technical expertise, this job requires strong collaboration skills.</p><p></p><p><b>
What you&rsquo;ll own</b></p><p>
Feature Development &amp; Delivery:</p><ul><li>
Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.</li></ul><p>
Technical Ownership and Stewardship:</p><ul><li>
Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.</li><li>
End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.</li></ul><p>
Contribute to ML platform:</p><ul><li>
Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.</li></ul><p>
Operational Excellence:</p><ul><li>
Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.</li><li>
Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.</li></ul><p>
Continuous Improvement:</p><ul><li>
Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.</li></ul><p>
Release Management:</p><ul><li>
Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.</li></ul><p>
Leadership:</p><ul><li>
Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.</li><li>
Mentor and coach other engineers, supporting their professional growth.</li><li>
Foster a culture of collaboration, continuous improvement, and knowledge sharing.</li></ul><p>
Act Like an Owner:</p><ul><li>
Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.</li><li>
Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.</li></ul><p></p><p><b>
What you&rsquo;ll bring</b></p><ul><li>
5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience</li><li>
Proven expertise with ML model deployment, API design, and integration into production environments</li><li>
Strong Python programming and relevant ML/data libraries</li><li>
Experience with containerization, orchestration, and AWS cloud services</li><li>
Building and operating CI/CD pipelines</li><li>
Monitoring, troubleshooting, and optimizing production ML systems</li><li>
Pre-release testing and release management</li><li>
Demonstrated ability to work independently, navigate ambiguity, and deliver results</li><li>
Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams</li><li>
Experience with OpenAPI, FastAPI, or similar</li></ul><p></p><p><b>
It&rsquo;s a bonus if you have</b></p><ul><li>
Experience with MLFlow, model versioning, and storage</li><li>
Familiarity with Databricks or similar platforms</li><li>
Experience supporting high-volume, real-time data products</li><li>
Automated testing and validation frameworks</li><li>
Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB</li><li>
Experience with Terraform Cloud</li><li>
Experience in large companies, mature engineering teams, and/or highly regulated industries</li><li>
AI-assisted coding experience (e.g. GitHub Copilot)</li></ul><p></p><p><b>
Why Join Us?</b></p><ul><li>
Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company&rsquo;s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.</li><li>
Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.</li><li>
Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.</li></ul><p></p><p><b>
About the team</b></p><p>
Our inclusive and global teams win together every day. We&rsquo;re proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.</p><p></p><p><b>
What makes a Globalpayer?</b></p><p>
Globalpayers think like a client, act like an owner, and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do.</p><p></p><p>
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.</p><p></p><p>
#LI-AB1</p></div>

Senior ML Software Engineer

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

Explore 265+ Production engineer in London this July. Find roles across top companies and apply now to boost your career.