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Roku

<div>
 Teamwork makes the stream work.
 
 &nbsp;
 
 
 Roku is changing how the world watches TV
 
 
 Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 
 
 From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 
 
 &nbsp;
 
 
 &nbsp;
 
 About the Team
 
 The mission of Roku&rsquo;s Data Engineering team is to develop a world-class big data platform that empowers both internal and external partners to leverage data and drive business growth. The team works closely with business stakeholders and engineering colleagues to collect, transform and surface metrics that are critical to the success of new and existing initiatives.
 
 
 As a Senior Data Engineer in the
 
 Viewer Product Device &amp; Themed Experiences
 
 team, you&rsquo;ll play a pivotal role in designing data models and building scalable pipelines to capture business metrics across Roku devices, Roku Powered TVs, web, and mobile clients. This work is essential to helping Roku understand which features resonate most with users and how we can continue to improve their experience.
 
 About the Role
 
 Roku pioneered TV streaming. We connect users to the content they love, enable publishers to build and monetise large audiences, and give advertisers unique opportunities to engage consumers. Roku streaming players and Roku TV&trade; models are available worldwide through direct retail and licensing partnerships with TV brands and pay-TV operators.
 
 
 With tens of millions of devices sold across multiple countries, thousands of streaming channels, and billions of hours watched, a scalable, reliable and fault-tolerant big data platform is critical to our continued success.
 
 
 This role is offered on a
 
 hybrid basis
 
 , based from our Cambridge Office, UK.&nbsp;
 
 &nbsp;What You&rsquo;ll Be Doing
 <ul>
 <li>
 
 Building highly scalable, fault-tolerant distributed data processing systems (batch and streaming) that handle tens of terabytes of data each day, supporting a petabyte-scale data warehouse.
 
 </li>
 <li>
 
 Designing and developing robust data solutions, streamlining complex datasets into simplified, self-service models.
 
 </li>
 <li>
 
 Developing pipelines that ensure high data quality and resilience to imperfect source data.
 
 </li>
 <li>
 
 Defining and maintaining data mappings, business logic, transformations and data quality standards.
 
 </li>
 <li>
 
 Debugging low-level systems, measuring performance and optimising large production clusters.
 
 </li>
 <li>
 
 Taking part in architecture discussions, influencing the product roadmap, and owning new initiatives from concept to delivery.
 
 </li>
 <li>
 
 Maintaining and evolving existing platforms, introducing modern technologies and architectures where appropriate.
 
 </li>
 </ul>
 
 &nbsp;
 
 We&rsquo;re Excited If You Have
 <ul>
 <li>
 
 Strong SQL skills.
 
 </li>
 <li>
 
 Proficiency in at least one scripting language &mdash;
 
 Python is required
 
 .
 
 </li>
 <li>
 
 Proficiency in at least one object-oriented language.
 
 </li>
 <li>
 
 Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto.
 
 </li>
 <li>
 
 Experience with AWS, GCP, or Looker (advantageous but not essential).
 
 </li>
 <li>
 
 Solid background in data modelling, including the design, implementation and optimisation of conceptual, logical, and physical models for scalable architectures.
 
 </li>
 <li>
 
 A degree in Computer Science (BS required; MS preferred).
 
 </li>
 </ul>
 
 &nbsp;
 
 
 Our Hybrid Work Approach
 
 
 Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 
 
 &nbsp;
 
 
 Benefits
 
 
 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 
 
 &nbsp;
 
 
 Accommodations
 
 
 Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 
 
 &nbsp;
 
 
 The Roku Culture
 
 
 Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 
 
 We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 
 
 To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 
 
 By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 
</div>

Senior Data Engineer, Python, Spark

CMR Surgical

<div>About CMR Surgical
At CMR Surgical, we're revolutionising the future of minimal access surgery with Versius, our next-generation surgical robotic system. We're growing fast, and were on a mission to transform how surgery is delivered globally for the benefit of patients, clinicians, and healthcare systems.
Our valuesAmbitious, Humble, People-Focused, and Fair &amp; Responsible define our approach to innovation, partnership, and growth. If you believe in making a meaningful difference in healthcare and want to be part of a purpose-driven company with bold ambitions, now is the time to join us.
CMR is an exciting and evolving company to be joining right now. Our commitment to our goal of building a world-class medical devices company is underpinned by the ground-breaking innovation of our next generation of surgical robots and a diverse team of talented and supportive individuals.
Were breaking new ground which makes working here exciting, it provides autonomy, opportunity and makes the things you do visible. Come and join us and see what youre capable of.
About the Role
Were looking for a Senior Software Engineer to join CMR Surgical and help us build the data platforms, services, and infrastructure that enable more patients to benefit from minimal access surgery using the Versius Surgical System.
Youll join our Data department, where we work with telemetry streaming from hundreds of devices around the world and build platforms and products that support surgeons and teams across the business. The technical breadth of what we tackle is wide and varied from event-driven data pipelines, cloud infrastructure, microservices, databases, and data warehouses, to digital products, data analysis, and AI models.
We care deeply about outcomes and always keep the real-world impact of our work in mind. Youll be working on systems that genuinely matter, alongside people who value engineering quality, collaboration, ownership, and continuous learning.
This role is ideal for someone who enjoys solving complex data and software engineering problems, can take ownership of technical decisions, and wants to help build reliable, scalable, and maintainable systems that make Versius data available for a wide range of use cases across CMR.
This is a hybrid role, with a minimum of 1 day per week in our Cambridge office, plus additional time on-site when needed.
Responsibilities
As a Senior Software Engineer, youll play a key role in designing, building, maintaining, and improving the services and infrastructure that make Versius data available across CMR. Youll work on systems that need to be reliable, scalable, secure, and maintainable, while helping other engineers grow and supporting teams across the business to unlock value from data.
You will:<ul><li>
Design, build, and improve data pipelines that help us understand real use of Versius in the hospitals.</li><li>
Develop high-quality software, primarily using Python, to support data processing, cloud services, APIs, and internal platforms.</li><li>
Work with event-driven and streaming data architectures on AWS to make data available with low latency for a wide range of use cases.</li><li>
Take ownership of services and technical areas, helping work progress through the full software development lifecycle from understanding the problem, through design and delivery, to operation and continuous improvement.</li><li>
Contribute to the design and evolution of existing and new systems, making pragmatic technical decisions that balance quality, speed, cost, reliability, and long-term maintainability.</li><li>
Build and operate cloud-native data solutions using AWS services, Infrastructure-as-Code, containers, databases, data lakes, and related technologies.</li><li>
Promote high-quality engineering practices across the team, including clean code, testing, code reviews, CI/CD, observability, documentation, and knowledge sharing.</li><li>
Collaborate with a wide range of stakeholders across the business, including Product, R&amp;D, Clinical, Commercial, and other engineering teams, to understand real-world needs and translate them into robust technical solutions.</li><li>
Help make data available to support analytics, AI research, product development, operational insight, and a deeper understanding of how our systems are used in the field.</li><li>
Coach, mentor, and support other engineers, helping raise the technical capability of the team through teaching, pairing, feedback, and thoughtful technical leadership.</li></ul>
Wed expect you to be willing to turn your hand to anything within the Data Team that helps the team deliver its objectives.
About You
Youre someone who enjoys solving complex problems, building reliable systems, and working collaboratively to create software and data platforms that make a real difference.
To be successful in this role, youll need to have/be:
<ul><li>Strong software engineering experience, with a proven ability to design, build, operate, and improve data pipelines.</li><li>
Proficient in Python this is our main language and one of our core tools.</li><li>
Experience with event-driven, streaming, or asynchronous architectures, and understands the trade-offs involved in building these systems.</li><li>
Experience with cloud infrastructure, ideally AWS, and is comfortable working with Infrastructure-as-Code and modern cloud-native engineering practices.</li><li>
Cares about engineering quality, including writing code that is understandable, testable, observable, and built to last.</li><li>
Can communicate clearly with both technical and non-technical stakeholders, helping to understand needs, explain trade-offs, and gain alignment.</li><li>
Enjoys collaboration and knowledge sharing, and is comfortable coaching, mentoring, or supporting other engineers.</li><li>
Is adaptable and open to working across different types of problems as the team, platform, and products evolve.</li><li>
Is excited by the idea of building software and data platforms that benefit patients and have real-world impact.</li></ul>
Why Join Us?
We offer a competitive salary and a great benefits package including a bonus, pension, healthcare and enhanced global parental leave pay.
Interested? Wed love to hear from you!
This role requires candidates to have eligibility to work within the UK. 

 
Strictly no agencies</div>

Senior Software Engineer, Data Platform

Ipsos

<div>Senior Platform &amp; Reliability Production Engineer &ndash; Audience Measurement
Make Your Mark at Ipsos
Ipsos CrossMedia is at a pivotal and exciting stage of growth, and we are looking for a motivated Production Engineer to join our innovative Data Science and Engineering teams. This is a fantastic opportunity to work on both high-profile, established projects for blue-chip clients and to contribute to brand-new, greenfield initiatives.
What is in it for you?
This is a fantastic opportunity for someone to enhance their career and develop key skills. You will get the opportunity to:
<ul><li>Build and Manage Cloud Infrastructure: You will own the management of our production and development infrastructure on Google Cloud Platform (GCP) and AWS. This includes our Kubernetes clusters, cloud storage, and identity and access management.
</li><li>Master Infrastructure as Code (IaC): You will design, write, and deploy code to manage our infrastructure using modern IaC tools like Terraform or Pulumi. This is a chance to build your skills in creating repeatable and robust systems.
</li><li>Automate Everything: You will be responsible for our CI/CD pipelines, using tools like GitHub Actions, or Azure DevOps to automate the building, testing, and deployment of our applications and data workflows.
</li><li>Orchestrate Data Workflows: A core part of your role will be creating, maintaining, and monitoring our data ingestion and delivery pipelines using Argo Workflows. You'll ensure that data flows seamlessly and reliably to our clients and internal teams.
</li><li>Ensure System Reliability (SRE Principles): You will monitor the health and performance of our systems, ensuring efficient resource usage. When issues arise, you'll be on the front line, performing root cause analysis, deploying fixes, and providing Level 2 technical support. You'll also contribute to a blameless post-mortem culture to learn from incidents.
</li><li>Drive Continuous Improvement: You will be empowered to propose and implement structural improvements to our platform, from configuration management to system architecture. We want you to help us get better every day.
</li><li>Collaborate Across Teams: You will work closely with our talented Data Scientists, Software Engineers, and Product Owners to build scalable, reliable, and secure solutions that meet their needs.
</li>Shared On-Call Responsibility: You will participate in a shared, rota-based, out-of-hours emergency on-call schedule. We strive to build resilient systems to keep this quiet, and we ensure our on-call engineers are well-supported. 
<li>
</li></ul>The Role:
As a key member of our team, you will be at the heart of our data platform, ensuring its reliability, scalability, and efficiency. We are constantly evolving our workflows and are committed to investing in cutting-edge technology. If you are passionate about designing, building, and deploying resilient, distributed systems and want to make a tangible impact, you will thrive here. You won't just be maintaining systems; you'll have the autonomy to propose and implement new ideas and technologies that will shape the future of our data infrastructure.
About you:
The successful candidate will bring:
<ul><li>Cloud Platform Experience: Professional experience with a major cloud provider (GCP, AWS, or Azure). We primarily use GCP and AWS, so experience there is a significant plus.
</li><li>Infrastructure as Code (IaC): Knowledge of IaC principles and tools such as Terraform, Pulumi, or Ansible.
</li><li>CI/CD: Knowledge of continuous integration and continuous delivery workflows.
</li><li>Databases: Working knowledge of SQL and experience with relational databases or data warehouses.
</li><li>Scripting and Automation: Proficiency in a scripting language (e.g., Python, Bash) and comfort with the Unix/Linux command line (we expect you to know your way around `grep`, `awk`, `sed`, etc.).
</li><li>ETL/Data Pipelines: Familiarity with data workflows and tools like Argo Workflows.
</li></ul>Desirable Skills (Nice to Have)
<ul><li>Containerization and Orchestration: Experience with Docker and Kubernetes is highly desirable.
</li><li>Version Control: Proficiency with Git and collaborative workflows (e.g., pull requests, code reviews).
</li><li>Experience of Windows IIS
</li><li>NoSQL Databases: Familiarity with NoSQL databases like MongoDB or DynamoDB.
</li><li>Agile and Project Tracking: Experience with tools like Jira or Azure DevOps.
</li><li>Networking Concepts: A good understanding of networking principles (TCP/IP, DNS, HTTP).
</li><li>Security Best Practices: A good awareness of and interest in security and privacy in the cloud.
</li></ul>Benefits:
We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range health &amp; wellbeing, financial benefits and professional development opportunities.
We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.
We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process.
Your application will be reviewed by someone from our Talent Team who will be in touch either way to let you know the outcome.</div>

Senior Production Engineer

Grundfos Pumps

<div></div><div><div>Are you a pragmatic SaaS engineer who thrives on building data pipelines that turn raw data into insights that prevent real-world infrastructure failures? Then join us in our mission to pioneer smarter solutions for moving and transforming water, reducing energy consumption, and enhancing quality of life for people. 
As our new Senior Product Development Engineer, you will be designing and developing cloud-based analytics framework components that process diverse data sources into actionable insights &mdash; from data import and cleansing through calculation pipelines to dashboards that predict critical events such as sewage overflows in pump and pipe systems. 
This role is located in our Cambridge office. 
What you will be doing
As a key part of the Analytics Platform Engineering team, you'll create impact by building the intelligent analytics framework that empowers utilities worldwide to prevent infrastructure failures before they happen, protecting communities and the environment. 
Your main responsibilities include: 
<ul><li>
Architect and develop framework components and calculation pipelines for our cloud-based analytics product (MAP platform)</li><li>
Implement data import, cleansing, and processing workflows that transform third-party and internal data into meaningful insights</li><li>
Resolve production bugs and work through the engineering backlog to improve platform reliability and performance</li><li>
Collaborate closely with your small scrum team to deliver iterative releases, incorporate customer feedback, and continuously improve the product</li><li>
Build and maintain predictive analytics features such as overflow alerts for sewage pumps and pipes</li><li>
Contribute architectural decisions that ensure the platform scales reliably in a real cloud environment</li></ul> 
What makes you a great fit 
Above all, you are a hands-on, pragmatic cloud software engineer with real-world experience shipping and maintaining production systems &mdash; someone who has been through release cycles, handled upgrades, responded to customer feedback, and knows what it takes to get the job done. 
We would also imagine that you have: 
<ul><li>
5+ years of experience in software product development with cloud-based systems (design, build, deploy, and maintain)</li><li>
Strong skills in building data processing pipelines &mdash; including data import, transformation, cleansing, and calculation workflows</li><li>
Demonstrated experience with architectural design of scalable framework components in a production environment</li><li>
Proven ability to work autonomously in small agile/scrum teams and deliver iterative releases</li></ul> 
It is a plus if you also have 
<ul><li>
Experience with analytics or IoT platforms, particularly in utilities, water management, or industrial domains</li><li>
Familiarity with dashboard development and alert/notification systems</li><li>
Background working with third-party data integrations and building extensible framework products</li></ul> 
Why you will love working here 
We care! Day to day, you can look forward to: 
<ul><li>
A working environment built around your needs, with flexible hours, home working opportunities and parental support.</li><li>
Annual bonuses, health insurance and a strong focus on well-being activities.</li><li>
Three days' additional paid leave for volunteering in your community.</li></ul> 
We are inclusive! Celebrating and valuing our differences helps us see possibilities where others can't. 
Are you ready to unlock possibilities at Grundfos? Apply today!
To get to know us better, follow us on LinkedIn or visit grundfos.com</div></div>

Senior Product Development Engineer

CommonAI CIC

<div>
 CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
 
 
 We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.
 
 
 
 The Opportunity
 
 
 
 We're seeking a highly skilled foundation model engineer who has experience of building, training, evaluating, and deploying LLMs or multimodal models end-to-end.
 
 
 We are currently building an AI lab with multiple GPU clusters for testing new hardware and software technologies to accelerate machine learning and inference. This exciting role will primarily focus on model development, data pipelines and system performance. You'll work across the full AI lifecycle, from experimentation to scalable deployment, with a strong emphasis on technical depth and rigour.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and implement end-to-end LLM training pipelines
 </li>
 <li>
 Source and, where appropriate, preprocess datasets for training and evaluation
 </li>
 <li>
 Fine-tune and optimise open weight models (LLMs, vision, or traditional ML)
 </li>
 <li>
 Build evaluation frameworks and define performance metrics
 </li>
 <li>
 Develop and maintain data pipelines and training workflows
 </li>
 <li>
 Analyse training pipelines and optimise them for latency, cost, and scalability
 </li>
 <li>
 Implement monitoring, logging, and feedback loops for continuous improvement
 </li>
 <li>
 Experiment with modern AI tooling and services to investigate how they can be leveraged
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proven experience training and fine-tuning LLMs or multimodal models (not just using APIs)
 </li>
 <li>
 Solid understanding of:
 </li>
 <li>
 Model evaluation and validation
 </li>
 <li>
 Overfitting, bias/variance tradeoffs
 </li>
 <li>
 Data quality and feature engineering
 </li>
 <li>
 Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow)
 </li>
 <li>
 Experience building and maintaining ML pipelines in production
 </li>
 <li>
 Familiarity with GPU usage and optimisation
 </li>
 <li>
 Ability to debug and improve model performance systematically
 
 
 </li>
 </ul>
 We also value:
 
 
 <ul>
 <li>
 Knowledge of distributed training or large-scale data processing
 </li>
 <li>
 Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning)
 </li>
 <li>
 Background in applied research or publishing
 </li>
 <li>
 Familiarity with retrieval systems, embeddings, or ranking models
 
 
 </li>
 </ul>
 Ideally you will have a maths or computer science research background with a focus on developing new algorithms or techniques for training and deploying AI models.
 
 
 You may also have been working in industry in a large organisation or start-up with an emphasis on developing and deploying cutting edge machine learning.
 
 
 When applying, please include:
 
 
 <ul>
 <li>
 Links to relevant projects, papers, or GitHub repositories
 </li>
 <li>
 A brief description of a model/system you trained and deployed end-to-end
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A collaborative and supportive work environment
 </li>
 <li>
 The opportunity to have a high impact in a growing organisation
 </li>
 <li>
 Competitive salary package and pension
 </li>
 <li>
 Professional development opportunities
 </li>
 <li>
 Networking opportunities with influential people from across the tech sector and academia
 </li>
 <li>
 A vibrant office environment located a few minutes' walk away from Cambridge train station
 
 
 </li>
 </ul>
 
 CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.
 
</div>

Foundation Model Engineer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - Cambridge, United Kingdom

BIOVIA

<div><div>Join our BIOVIA Materials Simulation team based in Cambridge UK, as a Software Engineer Intern, where you will contribute to the development and optimization of advanced molecular simulation methods within computational materials science. 
During this 3-month internship, you will contribute to the evaluation and optimization of machine-learned interatomic potentials, with a particular focus on the MACE, a model based on the Atomic Cluster Expansion framework. You will collaborate with experienced researchers and software developers to analyze performance, identify optimization opportunities and support the advancement of next-generation molecular simulation tools.
Role Description &amp; Responsibilities<ul><li>
Analyze the performance of molecular simulation workflows and identify areas for optimization</li><li>
Develop and test software solutions using Python where appropriate</li><li>
Support the validation of simulation results and document findings</li><li>
Collaborate with multidisciplinary scientists and software engineers within the Materials Simulation team</li><li>
Present progress and recommendations throughout the internship</li></ul></div><div>
Qualifications<ul><li>
Currently enrolled in an MSc or PhD program in Mathematics, Physics, Chemistry, Chemical Engineering, Materials Science, or a related discipline</li><li>
Good programming skills and general IT proficiency</li><li>
Experience with scripting languages, preferably Python</li><li>
Understanding of mathematics, computational methods, or physical sciences</li><li>
Strong analytical and problem-solving skills with an interest in computational materials science</li><li>
Interest in molecular simulation, machine learning, or scientific computing is considered an advantage</li><li>
Strong communication skills in English and the ability to work effectively in a collaborative research environment</li></ul>
What&rsquo;s in it for you<ul><li>
A unique opportunity to gain hands-on experience in a global tech company</li><li>
Exposure to real-world projects and collaboration with experienced professionals in an international, multicultural team</li><li>
A supportive environment that encourages learning, innovation and personal growth</li></ul>
Interested? Click on &quot;Apply&quot; to upload your application documents</div><h2 class="jobSectionHeader">
Inclusion statement</h2><div>
As a game-changer in sustainable technology and innovation, Dassault Syst&egrave;mes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it&rsquo;s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.</div></div>

Software Engineer Intern (Materials Simulation) – 3-Month Internship

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